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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)
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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) • Increased resource use efficiency • Main means: • Better use of crop genetic diversity
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)
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
Crop - environment: mutual interaction environment Crop A
Facilitation: positive effect environment + crop Crop A Crop B
Competition: negative influence environment - crop Crop A Crop B
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
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.
Working group plant-plant interaction • Crop – weed interaction • Weed suppression • Which traits • General or environment specific • Easy screening procedures
In case of mixtures • Crop – crop interaction • Yield stability • Difference in stress-tolerance • Productivity • Niche differentiation • Intra-specific competition > inter-specific competition
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
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?
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
Plant-plant interaction • Main issues: • Productivity • Stability • Weed suppression
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
Multiple cropping Growing two or more crops on the same field in a year - sequential cropping - relay intercropping - full intercropping time
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)
Facilitative production principle: diseases Causal organism: Magnaporthe grisea two phases: vegetative stage Leaf blast reproductive phase Neck or panicle blast
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
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
Key to evaluation of intercrop productivity Quantification of competitive relations Example: Two-species mixture (sp 1 - sp 2) How many competition coefficients?
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
Intraspecific competition Y=N/(b0+b1N) W=Y/N=1/(b0+b1N) 1/W=b0+b1N
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)
Intercropping: intra and interspecific 1/W1=b10+b11N1+ b12N2 b11/b12 relative competitive ability What does this value learn us?
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
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
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
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
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
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?
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)?