SlideShare ist ein Scribd-Unternehmen logo
1 von 27
Downloaden Sie, um offline zu lesen
Looking beyond grain for overall benefit
  from wheat in mixed crop livestock
               systems
      Michael Blϋmmel1, Arun K Joshi2, Nils Teufel1 and Iain A. Wright1

          1International  Livestock Research Institute (ILRI), India and Ethiopia
        2Centro   Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Nepal




    Wheat for Food Security, Addis Ababa, 2012, October 8 to 12th
                                                                                    1
Topics

 Wheat straw as commodity, contribution to overall
  income from wheat production

 Wheat straw trading as feed back mechanism and
  entry point for wheat straw value chain
  improvement

 Opportunities and limitations of improving wheat
  straw through multidimensional wheat
  improvement




                                                2
Wheat straw-grain price
  ratios in South Asia
Straw price/grain price in %, as collected during
             village survey 2009/10

   % (n)             Normal             Peak


   Punjab            35 (18)            48 (18)
   Haryana           19 (18)            30 (18)


                                               N Teufel et al. (2011)



 In Ethiopia in 2006 and 2007 Gebremedhin estimated wheat
           straw - grain price ratios of 10 and 27%


                                                                   3
Peri-urban wheat straw
  trader, New Delhi




                         4
Wheat straw collected from
  fodder traders and farmers
Category       Variety        Price [Rs/kg straw]          n
                New Delhi wheat straw markets
   best      Not known               4.25                  2
   best       WH-283                 4.00                  1
 medium      Not known               3.85                  2
 medium         1553                 4.00                  1
            Village Kapriwas, dist. Rewari, Haryana
   best        C-306                 3.50                  1
   best       WH-283                 3.40                  1
   good       DBW-17                 3.00                  1
   good       PBW-502                3.00                  1
   good       PBW-550                3.25                  1
 medium       PBW-343                3.00                  1

Note: All samples collected for feeding trials in 04/2009 to validate
 laboratory straw quality traits. Acid Detergent Fiber– a cellulose estimate
- was the single important trait
Price: quality relations in wheat straw
     traded monthly in New Delhi
          from 2008 to 2009




                                    6
Wheat straw collected monthly
from fodder traders in Delhi and
     Patna in 2008 - 2009
Category   ADF [%dm (SE)]    Price [Rs/kg straw (SE)]   n
             New Delhi wheat straw markets
  best       48.8 (0.21)           4.43 (0.11)          36
 good        49.3 (0.21)           4.21 (0.07)          72
medium       49.1 (0.24)           4.00 (0.09)          42
                  Patna straw markets
  best       50.7 (0.16)           3.26 (0.08)          48
 good        50.9 (0.14)           3.07 (0.06)          72
medium       51.6 (0.21)           2.85 (0.08)          35




                                                             7
Price-quality relations in wheat straw
  traded monthly in New Delhi and
      Patna from 2008 to 2009




                                    8
Summary wheat straw trading

 Wheat straw can contribute significantly to overall
  benefits from wheat cropping

 Differences in straw quality still associated with
  varieties on village level trading but less in urban
  markets

 Intuitively small differences in laboratory quality
  traits associated with price premiums of about
  10% on average

 More work/clarity needed in understanding price:
  quality relations
                                                   9
Wheat straw trials investigated for
   straw traits: opportunities from
       selection and breeding
HTM =      Heat Trial Early maturity: India (Indore, Ugar, Ludhiana, Karnal and Varansi)
           Bangladesh and Pakistan

HTNM =     Heat Trial Normal Maturity: India (Ugar, Ludhiana, Karnal)
           Bangladesh and Pakistan (Islamabad, Bahawalpur and Faisalabad)

SAWYT = Semi Arid Wheat Trial: India (Indore, Ugar, Dharward and Varanasi)
        Bangladesh, Nepal and Pakistan

ESWYT = Elite Spring Wheat Trial: Bangladesh and Pakistan

1st DRYT = 1st Drought Yield Trial: India (Indore, Ugar and Dharward) and Pakistan

2nd DRYT =2st Drought Yield Trial: India (Ludhiana, Karnal and Varanasi), Nepal and Pakistan




                                                                                     10
Relations between straw yield and
                            grain yield in a range of
                                  wheat cultivars
                      6000       HTEM
                                 HTNM
                                 SAWYT
                      5000       ESWYT
                                 1st DRYT
                                 2nd DRYT
Grain yield (kg/ha)




                      4000


                      3000


                      2000


                      1000


                         0
                             0   1000   2000   3000   4000   5000   6000   7000   8000   9000
                                                 Straw yield (kg/ha)
                                                                                          11
Relations between acid detergent fiber
     content of straw and grain yield in
      a range of wheat cultivars
                       6000     HTEM
                                HTNM
                                SAWYT
                       5000     ESWYT
                                1st DRYT
 Grain yield (kg/ha)




                                2st DRYT
                       4000


                       3000


                       2000


                       1000
                                                      Wheat straw
                                                       trading
                          0
                           41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
                                       Acid detergent fiber content (%)    12
Relations between acid detergent
                       fiber and straw yield in a range of
                                  wheat cultivars
                      9000    HTEM
                              HTNM
                      8000    SAWYT
                              ESWYT
                              1st DRYT
                      7000
                              2nd DRYT
Straw yield (kg/ha)




                      6000

                      5000

                      4000

                      3000

                      2000

                      1000

                         0
                          41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
                                     Acid detergent fiber content (%)     13
Relations between nitrogen content
of straw and grain yield in a range of
           wheat cultivars




                                  14
Straw in vitro organic matter digestibility
and grain yield in 437 cultivars from IRRI

                                                                                         AROMATICS
                       9000                                                              HYBRIDS
                                                                                         INDICA
                       8000                                                              NPT
                                                                                          Released varieties
                       7000
 Grain yield (kg/ha)




                       6000

                       5000

                       4000

                       3000

                       2000

                       1000
                                y = 10 650 - 103.7x; r= - 0.19 P=<0.0001
                         0
                         32.5   35.0      37.5      40.0      42.5         45.0   47.5      50.0    52.5
                                   Straw in vitro organic matter digestibility (%)
                                                                                                      15
                                                                             Source: Blümmel et al. 2007
Summary from variety
          testing work
Including straw traits in cultivar choice increases
      probability of having premium straw quality

Of the variations in straw in quality available in the
      cultivar types only a small segment appears
              currently used in straw trading

Very strong clustering of cultivar types for grain
       and straw yield and for straw quality




                                                  16
Thanks for your
        attentions

Acknowledgment: Most of the work was funded by the
by the Bill and Melinda Gates Foundation under CSISA


                                                   17
Conclusions




              18
Variations in Grain Yields content
            in wheat trials
Trials     Location                 Grain Yields (kg/ha)
                            Mean     Range             h2     P


HTEM       I (U, K), B      3 312    2 704 – 3 813     0.60   < 0.0001
HTNM       I,B              3 442    2 881 – 4 009     -      0.02
SAWYT      I (I, U, D), B   2 635    2 166 – 3 154     0.24   < 0.0001
ESWYT      B                4 177    3 278 – 5 011     -      0.007
1 DRYT     I (U, D)         1 516    1 032 – 1 880     0.55   < 0.0001
2 DRYT     I                1 932    1 087 – 2 632     -      0.35




  I = India, P = Pakistan, B = Bangladesh, N = Nepal
  Number in brackets = research station in a country

                                                                      19
Variations in Straw Yields in wheat
                  trials
Trials     Location                 Straw Yields (kg/ha)
                            Mean     Range             h2     P


HTEM       I (U, K), B      7 029    6 108 – 7721      0.37   < 0.0001
HTNM       I,B              6 286    5 140 – 7495      0.38   0.03
SAWYT      I (I, U, D), B   4 620    3 726 – 5 894     0.11   0.02
ESWYT      B                5 658    4 546 – 6 873     -      0.06
1 DRYT     I (U, D)         5 190    3 790 – 6 849     0.2    < 0.0001
2 DRYT     I                3 531    2 443 – 4 613     -      0.1




  I = India, P = Pakistan, B = Bangladesh, N = Nepal
  Number in brackets = research station in a country

                                                                     20
Variations in nitrogen content in
            wheat straw trials

Trials     Location                 Nitrogen content (%)
                             Mean    Range            h2     P<


HTEM       I (5), B, N       0.72    0.62 – 0.85      0.67   <0.0001
HTNM       I (3), B, P (3)   0.75    0.69 – 0.82      0.21   0.04
SAWYT      I (4), B, N, P    0.82    0.71 – 0.92      0.33   0.001
ESWYT      B, P              0.58    0.48 – 0.76      0      0.20
1 DRYT     I (3), P          0.76    0.69 – 0.83      0.58   0.002
2 DRYT     I (3), N, P       0.63    0.55 – 0.75      0.35   0.02



 I = India, P = Pakistan, B = Bangladesh, N = Nepal
 Number in brackets = sites in a country

                                                                     21
Variations in Acid Detergent Fiber
       content in wheat straw trials

Trials     Location                 Acid detergent fiber (%)
                             Mean     Range            h2     P


HTEM       I (5), B, N       49.6     48.8 – 51.4      0.91   <0.0001
HTNM       I (3), B, P (3)   49.5     48.4 – 50.7      0.53   0.0006
SAWYT      I (4), B, N, P    47.6     46.3 – 49.2      0.45   0.0005
ESWYT      B, P              50.8     47.3 – 52.2      0      0.11
1 DRYT     I (3), P          46.7     45.6 – 47.7      0.5    <0.0001
2 DRYT     I (3), N, P       50.1     48.8 – 51.3      0.19   0.024

  I = India, P = Pakistan, B = Bangladesh, N = Nepal
  Number in brackets = sites in a country

                                                                       22
Wheat straw and sorghums stover
based feed blocks fed to sheep




                          Wheat                      Sorghum




                            Pellets                   Block
 DMI (g/kg LW)               30.0a                    42.1 b
 ADG (g / d)                 71.1a                    89.5 b




 Wheat straw composition: N = 0.49%, ADF = 50.9%, IVOMD = 46.0%23
24
Comparisons of high and low quality
sorghum stover based feed blocks
    in commercial dairy buffalo
                 Block High            Block Low

CP               17.2 %                17.1%

ME (MJ/kg)       8.46 MJ/kg            7.37 MJ/kg

DMI              19.7 kg/d             18.0 kg/d

DMI per kg LW    3.6 %                 3.3 %

Milk Potential   16.6 kg/d             11.8 kg/d


                                                    25
                          Anandan et al. (2009a)
Variations in in vitro digestibility in
          wheat straw trials

Trials     Location                 In vitro digestibility (%)
                             Mean        Range        h2           P


HTEM       I (5), B, N       48.5     47.9 – 49.6    0.66   <0.0001
HTNM       I (3), B, P (3)   48.4     48.0 – 48.8    0      0.49
SAWYT      I (4), B, N, P    48.5     47.7 – 49.4    0.01   0.14
ESWYT      B, P              48.3     47.2 – 49.1    0      0.96
1 DRYT     I (3), P          47.7     46.7 – 48.5    0.66   <0.0001
2 DRYT     I (3), N, P       47.3     46.8 – 48.1    0.09   0.53


I = India, P = Pakistan, B = Bangladesh, N = Nepal
Number in brackets = sites in a country


                                                                       26
Key findings from crop
        residue fodder trading
 High monetary value of crop residues, ratio grain:
  crop residue monetary value getting narrower

 Quality difference between residues from different
  crops and from residues within different cultivars
  reflected in costs

 Apparently “small” differences in fodder quality
  can command surprisingly high price premiums


                                                     27

Weitere ähnliche Inhalte

Ähnlich wie Maximizing Benefits from Wheat Straw in Mixed Crop Livestock Systems

S7.3 Maize Value Chains in Nepal
S7.3   Maize Value Chains in NepalS7.3   Maize Value Chains in Nepal
S7.3 Maize Value Chains in NepalCIMMYT
 
Dairy farmprojectreport buffalosmallscale
Dairy farmprojectreport buffalosmallscaleDairy farmprojectreport buffalosmallscale
Dairy farmprojectreport buffalosmallscalePrabhat Pahan
 
Moon in the Mirror: Support Prices to Farmers
Moon in the Mirror: Support Prices to FarmersMoon in the Mirror: Support Prices to Farmers
Moon in the Mirror: Support Prices to FarmersRamanjaneyulu GV
 
Opportunities for maximizing feed value of sorghum
Opportunities for maximizing feed value of sorghum Opportunities for maximizing feed value of sorghum
Opportunities for maximizing feed value of sorghum ILRI
 
Multidimensional crop improvement to increase overall productivity in mixed c...
Multidimensional crop improvement to increase overall productivity in mixed c...Multidimensional crop improvement to increase overall productivity in mixed c...
Multidimensional crop improvement to increase overall productivity in mixed c...ILRI
 
S7.5 Biofortified Maize and Relevance of Innovative Maize-Poultry Value Chains
S7.5  Biofortified Maize and Relevance of Innovative Maize-Poultry Value ChainsS7.5  Biofortified Maize and Relevance of Innovative Maize-Poultry Value Chains
S7.5 Biofortified Maize and Relevance of Innovative Maize-Poultry Value ChainsCIMMYT
 
Dual-purpose crop developments, fodder trading and feed processing options fo...
Dual-purpose crop developments, fodder trading and feed processing options fo...Dual-purpose crop developments, fodder trading and feed processing options fo...
Dual-purpose crop developments, fodder trading and feed processing options fo...ILRI
 
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...ILRI
 
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...Joanna Hicks
 
Three New Bread Wheat Varieties for Food Security in Mali
Three New Bread Wheat Varieties for Food Security in MaliThree New Bread Wheat Varieties for Food Security in Mali
Three New Bread Wheat Varieties for Food Security in MaliCIMMYT
 
Genetic control of wheat adaption to CA. Richard Trethowan
Genetic control of wheat adaption to CA. Richard TrethowanGenetic control of wheat adaption to CA. Richard Trethowan
Genetic control of wheat adaption to CA. Richard TrethowanJoanna Hicks
 
Millets And Climate Change, Mar 24, 2010
Millets And Climate Change, Mar 24, 2010Millets And Climate Change, Mar 24, 2010
Millets And Climate Change, Mar 24, 2010FSTnortheast
 
Soil fertility management for improved wheat production in Uganda
Soil fertility management for improved wheat production in UgandaSoil fertility management for improved wheat production in Uganda
Soil fertility management for improved wheat production in UgandaCIMMYT
 
Comparative study of the effect of conventional and direct drillings on durum...
Comparative study of the effect of conventional and direct drillings on durum...Comparative study of the effect of conventional and direct drillings on durum...
Comparative study of the effect of conventional and direct drillings on durum...CIMMYT
 
Policy impacts on land use and agricultural practices in North-West India. Ni...
Policy impacts on land use and agricultural practices in North-West India. Ni...Policy impacts on land use and agricultural practices in North-West India. Ni...
Policy impacts on land use and agricultural practices in North-West India. Ni...Joanna Hicks
 

Ähnlich wie Maximizing Benefits from Wheat Straw in Mixed Crop Livestock Systems (20)

S7.3 Maize Value Chains in Nepal
S7.3   Maize Value Chains in NepalS7.3   Maize Value Chains in Nepal
S7.3 Maize Value Chains in Nepal
 
Dairy farmprojectreport buffalosmallscale
Dairy farmprojectreport buffalosmallscaleDairy farmprojectreport buffalosmallscale
Dairy farmprojectreport buffalosmallscale
 
Moon in the Mirror: Support Prices to Farmers
Moon in the Mirror: Support Prices to FarmersMoon in the Mirror: Support Prices to Farmers
Moon in the Mirror: Support Prices to Farmers
 
12109- SRI : Lessons from Chhattisgarh
12109- SRI : Lessons from Chhattisgarh12109- SRI : Lessons from Chhattisgarh
12109- SRI : Lessons from Chhattisgarh
 
Opportunities for maximizing feed value of sorghum
Opportunities for maximizing feed value of sorghum Opportunities for maximizing feed value of sorghum
Opportunities for maximizing feed value of sorghum
 
Multidimensional crop improvement to increase overall productivity in mixed c...
Multidimensional crop improvement to increase overall productivity in mixed c...Multidimensional crop improvement to increase overall productivity in mixed c...
Multidimensional crop improvement to increase overall productivity in mixed c...
 
S7.5 Biofortified Maize and Relevance of Innovative Maize-Poultry Value Chains
S7.5  Biofortified Maize and Relevance of Innovative Maize-Poultry Value ChainsS7.5  Biofortified Maize and Relevance of Innovative Maize-Poultry Value Chains
S7.5 Biofortified Maize and Relevance of Innovative Maize-Poultry Value Chains
 
Dual-purpose crop developments, fodder trading and feed processing options fo...
Dual-purpose crop developments, fodder trading and feed processing options fo...Dual-purpose crop developments, fodder trading and feed processing options fo...
Dual-purpose crop developments, fodder trading and feed processing options fo...
 
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...
Rice value chain development 2005-2011: IPMS experiences in Fogera pilot lear...
 
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...
Does CA pay? Experiences from the smallholder farming sector of Zimbabwe. Kil...
 
Three New Bread Wheat Varieties for Food Security in Mali
Three New Bread Wheat Varieties for Food Security in MaliThree New Bread Wheat Varieties for Food Security in Mali
Three New Bread Wheat Varieties for Food Security in Mali
 
Genetic control of wheat adaption to CA. Richard Trethowan
Genetic control of wheat adaption to CA. Richard TrethowanGenetic control of wheat adaption to CA. Richard Trethowan
Genetic control of wheat adaption to CA. Richard Trethowan
 
Millets And Climate Change, Mar 24, 2010
Millets And Climate Change, Mar 24, 2010Millets And Climate Change, Mar 24, 2010
Millets And Climate Change, Mar 24, 2010
 
Dungis goldmine
Dungis goldmineDungis goldmine
Dungis goldmine
 
Nutritionbrief
NutritionbriefNutritionbrief
Nutritionbrief
 
Soil fertility management for improved wheat production in Uganda
Soil fertility management for improved wheat production in UgandaSoil fertility management for improved wheat production in Uganda
Soil fertility management for improved wheat production in Uganda
 
The System of Rice Intensification (SRI) An Agroecological Approach to Agri...
The System of Rice Intensification (SRI) An Agroecological Approach toAgri...The System of Rice Intensification (SRI) An Agroecological Approach toAgri...
The System of Rice Intensification (SRI) An Agroecological Approach to Agri...
 
SCI by PSI uttarakhand
SCI by PSI uttarakhandSCI by PSI uttarakhand
SCI by PSI uttarakhand
 
Comparative study of the effect of conventional and direct drillings on durum...
Comparative study of the effect of conventional and direct drillings on durum...Comparative study of the effect of conventional and direct drillings on durum...
Comparative study of the effect of conventional and direct drillings on durum...
 
Policy impacts on land use and agricultural practices in North-West India. Ni...
Policy impacts on land use and agricultural practices in North-West India. Ni...Policy impacts on land use and agricultural practices in North-West India. Ni...
Policy impacts on land use and agricultural practices in North-West India. Ni...
 

Mehr von CIMMYT

What do women and men farmers want in their maize varieties
What do women and men farmers want in their maize varietiesWhat do women and men farmers want in their maize varieties
What do women and men farmers want in their maize varietiesCIMMYT
 
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...CIMMYT
 
Maize for Asian tropics: Chasing the moving target
Maize for Asian tropics: Chasing the moving targetMaize for Asian tropics: Chasing the moving target
Maize for Asian tropics: Chasing the moving targetCIMMYT
 
Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationCIMMYT
 
Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...CIMMYT
 
Identification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeIdentification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeCIMMYT
 
The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...CIMMYT
 
Outbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandOutbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandCIMMYT
 
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...CIMMYT
 
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...CIMMYT
 
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...CIMMYT
 
Maize intensification in major production regions of the world
Maize intensification in major production regions of the worldMaize intensification in major production regions of the world
Maize intensification in major production regions of the worldCIMMYT
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...CIMMYT
 
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...CIMMYT
 
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...CIMMYT
 
New agricultural technologies and gender dynamics at house holds in rural Ba...
 New agricultural technologies and gender dynamics at house holds in rural Ba... New agricultural technologies and gender dynamics at house holds in rural Ba...
New agricultural technologies and gender dynamics at house holds in rural Ba...CIMMYT
 
Effects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenEffects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenCIMMYT
 
Seeds of Discovery
Seeds of DiscoverySeeds of Discovery
Seeds of DiscoveryCIMMYT
 
Soil and nitrogen management in maize
Soil and nitrogen management in maizeSoil and nitrogen management in maize
Soil and nitrogen management in maizeCIMMYT
 
Technologies to drive maize yield improvement
Technologies to drive maize yield improvementTechnologies to drive maize yield improvement
Technologies to drive maize yield improvementCIMMYT
 

Mehr von CIMMYT (20)

What do women and men farmers want in their maize varieties
What do women and men farmers want in their maize varietiesWhat do women and men farmers want in their maize varieties
What do women and men farmers want in their maize varieties
 
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...Transforming Maize-legume Value Chains –A Business Case for Climate-Smart Ag...
Transforming Maize-legume Value Chains – A Business Case for Climate-Smart Ag...
 
Maize for Asian tropics: Chasing the moving target
Maize for Asian tropics: Chasing the moving targetMaize for Asian tropics: Chasing the moving target
Maize for Asian tropics: Chasing the moving target
 
Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that information
 
Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...
 
Identification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeIdentification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maize
 
The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...
 
Outbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandOutbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in Thailand
 
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
 
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
 
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
 
Maize intensification in major production regions of the world
Maize intensification in major production regions of the worldMaize intensification in major production regions of the world
Maize intensification in major production regions of the world
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
 
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
 
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
 
New agricultural technologies and gender dynamics at house holds in rural Ba...
 New agricultural technologies and gender dynamics at house holds in rural Ba... New agricultural technologies and gender dynamics at house holds in rural Ba...
New agricultural technologies and gender dynamics at house holds in rural Ba...
 
Effects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenEffects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chicken
 
Seeds of Discovery
Seeds of DiscoverySeeds of Discovery
Seeds of Discovery
 
Soil and nitrogen management in maize
Soil and nitrogen management in maizeSoil and nitrogen management in maize
Soil and nitrogen management in maize
 
Technologies to drive maize yield improvement
Technologies to drive maize yield improvementTechnologies to drive maize yield improvement
Technologies to drive maize yield improvement
 

Maximizing Benefits from Wheat Straw in Mixed Crop Livestock Systems

  • 1. Looking beyond grain for overall benefit from wheat in mixed crop livestock systems Michael Blϋmmel1, Arun K Joshi2, Nils Teufel1 and Iain A. Wright1 1International Livestock Research Institute (ILRI), India and Ethiopia 2Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Nepal Wheat for Food Security, Addis Ababa, 2012, October 8 to 12th 1
  • 2. Topics  Wheat straw as commodity, contribution to overall income from wheat production  Wheat straw trading as feed back mechanism and entry point for wheat straw value chain improvement  Opportunities and limitations of improving wheat straw through multidimensional wheat improvement 2
  • 3. Wheat straw-grain price ratios in South Asia Straw price/grain price in %, as collected during village survey 2009/10 % (n) Normal Peak Punjab 35 (18) 48 (18) Haryana 19 (18) 30 (18) N Teufel et al. (2011) In Ethiopia in 2006 and 2007 Gebremedhin estimated wheat straw - grain price ratios of 10 and 27% 3
  • 4. Peri-urban wheat straw trader, New Delhi 4
  • 5. Wheat straw collected from fodder traders and farmers Category Variety Price [Rs/kg straw] n New Delhi wheat straw markets best Not known 4.25 2 best WH-283 4.00 1 medium Not known 3.85 2 medium 1553 4.00 1 Village Kapriwas, dist. Rewari, Haryana best C-306 3.50 1 best WH-283 3.40 1 good DBW-17 3.00 1 good PBW-502 3.00 1 good PBW-550 3.25 1 medium PBW-343 3.00 1 Note: All samples collected for feeding trials in 04/2009 to validate laboratory straw quality traits. Acid Detergent Fiber– a cellulose estimate - was the single important trait
  • 6. Price: quality relations in wheat straw traded monthly in New Delhi from 2008 to 2009 6
  • 7. Wheat straw collected monthly from fodder traders in Delhi and Patna in 2008 - 2009 Category ADF [%dm (SE)] Price [Rs/kg straw (SE)] n New Delhi wheat straw markets best 48.8 (0.21) 4.43 (0.11) 36 good 49.3 (0.21) 4.21 (0.07) 72 medium 49.1 (0.24) 4.00 (0.09) 42 Patna straw markets best 50.7 (0.16) 3.26 (0.08) 48 good 50.9 (0.14) 3.07 (0.06) 72 medium 51.6 (0.21) 2.85 (0.08) 35 7
  • 8. Price-quality relations in wheat straw traded monthly in New Delhi and Patna from 2008 to 2009 8
  • 9. Summary wheat straw trading  Wheat straw can contribute significantly to overall benefits from wheat cropping  Differences in straw quality still associated with varieties on village level trading but less in urban markets  Intuitively small differences in laboratory quality traits associated with price premiums of about 10% on average  More work/clarity needed in understanding price: quality relations 9
  • 10. Wheat straw trials investigated for straw traits: opportunities from selection and breeding HTM = Heat Trial Early maturity: India (Indore, Ugar, Ludhiana, Karnal and Varansi) Bangladesh and Pakistan HTNM = Heat Trial Normal Maturity: India (Ugar, Ludhiana, Karnal) Bangladesh and Pakistan (Islamabad, Bahawalpur and Faisalabad) SAWYT = Semi Arid Wheat Trial: India (Indore, Ugar, Dharward and Varanasi) Bangladesh, Nepal and Pakistan ESWYT = Elite Spring Wheat Trial: Bangladesh and Pakistan 1st DRYT = 1st Drought Yield Trial: India (Indore, Ugar and Dharward) and Pakistan 2nd DRYT =2st Drought Yield Trial: India (Ludhiana, Karnal and Varanasi), Nepal and Pakistan 10
  • 11. Relations between straw yield and grain yield in a range of wheat cultivars 6000 HTEM HTNM SAWYT 5000 ESWYT 1st DRYT 2nd DRYT Grain yield (kg/ha) 4000 3000 2000 1000 0 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 Straw yield (kg/ha) 11
  • 12. Relations between acid detergent fiber content of straw and grain yield in a range of wheat cultivars 6000 HTEM HTNM SAWYT 5000 ESWYT 1st DRYT Grain yield (kg/ha) 2st DRYT 4000 3000 2000 1000 Wheat straw trading 0 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Acid detergent fiber content (%) 12
  • 13. Relations between acid detergent fiber and straw yield in a range of wheat cultivars 9000 HTEM HTNM 8000 SAWYT ESWYT 1st DRYT 7000 2nd DRYT Straw yield (kg/ha) 6000 5000 4000 3000 2000 1000 0 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Acid detergent fiber content (%) 13
  • 14. Relations between nitrogen content of straw and grain yield in a range of wheat cultivars 14
  • 15. Straw in vitro organic matter digestibility and grain yield in 437 cultivars from IRRI AROMATICS 9000 HYBRIDS INDICA 8000 NPT Released varieties 7000 Grain yield (kg/ha) 6000 5000 4000 3000 2000 1000 y = 10 650 - 103.7x; r= - 0.19 P=<0.0001 0 32.5 35.0 37.5 40.0 42.5 45.0 47.5 50.0 52.5 Straw in vitro organic matter digestibility (%) 15 Source: Blümmel et al. 2007
  • 16. Summary from variety testing work Including straw traits in cultivar choice increases probability of having premium straw quality Of the variations in straw in quality available in the cultivar types only a small segment appears currently used in straw trading Very strong clustering of cultivar types for grain and straw yield and for straw quality 16
  • 17. Thanks for your attentions Acknowledgment: Most of the work was funded by the by the Bill and Melinda Gates Foundation under CSISA 17
  • 19. Variations in Grain Yields content in wheat trials Trials Location Grain Yields (kg/ha) Mean Range h2 P HTEM I (U, K), B 3 312 2 704 – 3 813 0.60 < 0.0001 HTNM I,B 3 442 2 881 – 4 009 - 0.02 SAWYT I (I, U, D), B 2 635 2 166 – 3 154 0.24 < 0.0001 ESWYT B 4 177 3 278 – 5 011 - 0.007 1 DRYT I (U, D) 1 516 1 032 – 1 880 0.55 < 0.0001 2 DRYT I 1 932 1 087 – 2 632 - 0.35 I = India, P = Pakistan, B = Bangladesh, N = Nepal Number in brackets = research station in a country 19
  • 20. Variations in Straw Yields in wheat trials Trials Location Straw Yields (kg/ha) Mean Range h2 P HTEM I (U, K), B 7 029 6 108 – 7721 0.37 < 0.0001 HTNM I,B 6 286 5 140 – 7495 0.38 0.03 SAWYT I (I, U, D), B 4 620 3 726 – 5 894 0.11 0.02 ESWYT B 5 658 4 546 – 6 873 - 0.06 1 DRYT I (U, D) 5 190 3 790 – 6 849 0.2 < 0.0001 2 DRYT I 3 531 2 443 – 4 613 - 0.1 I = India, P = Pakistan, B = Bangladesh, N = Nepal Number in brackets = research station in a country 20
  • 21. Variations in nitrogen content in wheat straw trials Trials Location Nitrogen content (%) Mean Range h2 P< HTEM I (5), B, N 0.72 0.62 – 0.85 0.67 <0.0001 HTNM I (3), B, P (3) 0.75 0.69 – 0.82 0.21 0.04 SAWYT I (4), B, N, P 0.82 0.71 – 0.92 0.33 0.001 ESWYT B, P 0.58 0.48 – 0.76 0 0.20 1 DRYT I (3), P 0.76 0.69 – 0.83 0.58 0.002 2 DRYT I (3), N, P 0.63 0.55 – 0.75 0.35 0.02 I = India, P = Pakistan, B = Bangladesh, N = Nepal Number in brackets = sites in a country 21
  • 22. Variations in Acid Detergent Fiber content in wheat straw trials Trials Location Acid detergent fiber (%) Mean Range h2 P HTEM I (5), B, N 49.6 48.8 – 51.4 0.91 <0.0001 HTNM I (3), B, P (3) 49.5 48.4 – 50.7 0.53 0.0006 SAWYT I (4), B, N, P 47.6 46.3 – 49.2 0.45 0.0005 ESWYT B, P 50.8 47.3 – 52.2 0 0.11 1 DRYT I (3), P 46.7 45.6 – 47.7 0.5 <0.0001 2 DRYT I (3), N, P 50.1 48.8 – 51.3 0.19 0.024 I = India, P = Pakistan, B = Bangladesh, N = Nepal Number in brackets = sites in a country 22
  • 23. Wheat straw and sorghums stover based feed blocks fed to sheep Wheat Sorghum Pellets Block DMI (g/kg LW) 30.0a 42.1 b ADG (g / d) 71.1a 89.5 b Wheat straw composition: N = 0.49%, ADF = 50.9%, IVOMD = 46.0%23
  • 24. 24
  • 25. Comparisons of high and low quality sorghum stover based feed blocks in commercial dairy buffalo Block High Block Low CP 17.2 % 17.1% ME (MJ/kg) 8.46 MJ/kg 7.37 MJ/kg DMI 19.7 kg/d 18.0 kg/d DMI per kg LW 3.6 % 3.3 % Milk Potential 16.6 kg/d 11.8 kg/d 25 Anandan et al. (2009a)
  • 26. Variations in in vitro digestibility in wheat straw trials Trials Location In vitro digestibility (%) Mean Range h2 P HTEM I (5), B, N 48.5 47.9 – 49.6 0.66 <0.0001 HTNM I (3), B, P (3) 48.4 48.0 – 48.8 0 0.49 SAWYT I (4), B, N, P 48.5 47.7 – 49.4 0.01 0.14 ESWYT B, P 48.3 47.2 – 49.1 0 0.96 1 DRYT I (3), P 47.7 46.7 – 48.5 0.66 <0.0001 2 DRYT I (3), N, P 47.3 46.8 – 48.1 0.09 0.53 I = India, P = Pakistan, B = Bangladesh, N = Nepal Number in brackets = sites in a country 26
  • 27. Key findings from crop residue fodder trading  High monetary value of crop residues, ratio grain: crop residue monetary value getting narrower  Quality difference between residues from different crops and from residues within different cultivars reflected in costs  Apparently “small” differences in fodder quality can command surprisingly high price premiums 27