1 / 40

Sustainable low-input cereal production: required varietal characteristics and crop diversity

Sustainable low-input cereal production: required varietal characteristics and crop diversity. Working Group 4: plant-plant interactions . About SUSVAR…. System characteristics: Cereal production Low-input conditions Aims: Increased stability (yield and quality)

tao
Télécharger la présentation

Sustainable low-input cereal production: required varietal characteristics and crop diversity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Sustainable low-input cereal production:required varietal characteristics and crop diversity Working Group 4: plant-plant interactions

  2. About SUSVAR…. • System characteristics: • Cereal production • Low-input conditions • Aims: • Increased stability (yield and quality) • Increased resource use efficiency • Main means: • Better use of crop genetic diversity

  3. Better use of crop genetic diversity (1) • Selection of suitable genotypes Better use of available gene-pool for low-input systems • Varieties that are well suited to low-input conditions in general • Varieties that are well suited to specific conditions (environmental conditions by definition more variable than under high-input conditions)

  4. Better use of crop genetic diversity (2) • Use of mixtures Utilize more genotypes simultaneously • Heterogeneity contributes to stability (risk avoidance) • Generation of added value: • Facilitation • Competition

  5. Crop - environment: mutual interaction environment Crop A

  6. Facilitation: positive effect environment + crop Crop A Crop B

  7. Facilitative production principle: insects

  8. Competition: negative influence environment - crop Crop A Crop B

  9. Competitive relations are important

  10. Competition also the basis for over-yielding • Competitive production principle intra-specific competition > inter-specific competition • Niche-differentiation or complementarity  better exploitation of available resources

  11. Facilitative production principle: weeds Facilitation (the creation of a weed free environment) is through Competition (suppression of weeds by other crop) Challenge: avoid other crop from developing into a weed.

  12. Facilitative production principle: weeds

  13. Working group plant-plant interaction • Crop – weed interaction • Weed suppression • Which traits • General or environment specific • Easy screening procedures

  14. In case of mixtures • Crop – crop interaction • Yield stability • Difference in stress-tolerance • Productivity • Niche differentiation • Intra-specific competition > inter-specific competition

  15. Weed suppression of mixtures • Crop – crop – weed interaction • How to maximize weed suppression? • Combine most competitive cultivars • Maximize complementarity • Complementarity in resource use and acquisition • Complementarity in weed suppression mechanism

  16. Currently many different questions …. • What do we want to obtain with mixtures? (stability, productivity, weed suppression, others) • How can added value of mixtures be obtained? (what is the best strategy) • How to select individual varieties for their performance in mixtures?

  17. Time to decide on where to go …

  18. Organisation of activities and reciprocal benefits WG 3 Plant – Soil Interactions WG 4 Plant – Plant Interactions WG 1 Genetics & Breeding WG 6 Variety testing & certification WG 2 Biostatistics WG 5 Plant Disease Complex

  19. Facilitative production principle: diseases

  20. Plant-plant interaction • Main issues: • Productivity • Stability • Weed suppression

  21. Learning-objectives • To familiarise with options for evaluating: • productivity • competitive relations within intercropping systems • To be able to value the various methodologies • To learn the relationship between some indices of relative competitive ability

  22. Multiple cropping Growing two or more crops on the same field in a year - sequential cropping - relay intercropping - full intercropping time

  23. Reasons for intercropping • Better use of available resources (land, labour, light, water, nutrients) • Reduction in pest pressure + associated damage (diseases, insects, weeds) • Socio-economic (greater stability, risk avoidance, food/cash crops) • Sustainability (erosion, soil fertility)

  24. Facilitative production principle: diseases Causal organism: Magnaporthe grisea two phases: vegetative stage Leaf blast reproductive phase Neck or panicle blast

  25. Intercropping as weed management component Leek monoculture weed-free period mechanical weeding manual weeding Weeds Leek-Celery Intercrop weed-free period mechanical weeding Weeds Transplanting Harvest

  26. Competition the basis for over-yielding? • Niche-differentiation  better exploitation of available resources • separation in time (relay) • separation in space (rooting depth) • different resource capture abilities • different growth requirements

  27. Key to evaluation of intercrop productivity Quantification of competitive relations Example: Two-species mixture (sp 1 - sp 2) How many competition coefficients?

  28. Key to evaluation of intercrop productivity Quantification of competitive relations Example: Two-species mixture (sp 1 - sp 2) How many competition coefficients? 2 intraspecific competition coefficients: b11, b22 2 interspecific competition coefficients: b12, b21

  29. Intraspecific competition Y=N/(b0+b1N)  W=Y/N=1/(b0+b1N)  1/W=b0+b1N

  30. Measure of intraspecific competition 1/W1=b10+b11N1 b10 [plant/g] b11 [m2/g] b11/b10 [m2/plant] • crowding coefficient (de Wit) • ecological neighbourhood area (Antonovics & Levin)

  31. Intercropping: intra and interspecific 1/W1=b10+b11N1+ b12N2 b11/b12 relative competitive ability What does this value learn us?

  32. Intercrop productivity 1/W1=b10+b11N1+ b12N2 and 1/W2=b20+b22N2+ b21N1 b11/b12 and b22/b21 Niche differentiation index (NDI): b11/b12 *b22/b21= (b11*b22)/(b12*b21) NDI =1,<1,>1

  33. How can we determine these indices?

  34. Evaluation in practice • Experiment with three treatments: • Monoculture of species 1 Y1,mono • Monoculture of species 2 Y2,mono • Mixture of species 1 and 2 Y1,mix, Y2,mix • Calculation of Relative Yield • RY1 =Y1,mix/Y1,mono • RY2 =Y2,mix/Y2,mono • Land Equivalent Ratio (LER) • LER = RY1 + RY2 • relative land area under sole crops required to produce the yields achieved in intercropping

  35. Two basic designs • Additive design 0 0 0 0 x x x x 0 x 0 x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 x 0 x species 1 species 2 mixture

  36. Two basic designs • Replacement design 0 0 0 0 x x x x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x 0 0 0 0 x x x x 0 x 0 x species 1 species 2 mixture

  37. k21=1.93 k12=0.58 Replacement design • Overall density constant • Results represented in a replacement diagram • LER generally replaced by Relative Yield Total (RYT) • Relative crowding coefficient (k) to express competitive relations: k12=(1-z1)/(w11/w12-z1) z1=fraction species 1

  38. k21=1.93 k12=0.58k12=0.58 Replacement design • k  intrasp/intersp comp. • Similar to b11/b12? • k*k • related to intercrop productivity • =1, >1, <1 • Similar to NDI?

  39. Excercises • Complete calculations on two intercrops • grown at two different densities • in replacement and additive design • Focus on: • What is the difference between outcomes from a replacement and an additive design? • What is the difference between relative crowding coefficient (k) and the ratio of competition coefficients (e.g. b11/b12)?

More Related