Compensatory phenotypic plasticity in irrigated rice: Sequential formation of yield components and simulation with SAMARA model

Autor: Kharla V.S. Mendez, Jean-Christophe Soulie, Ma. Rebecca C. Laza, Richard Pasco, Michaël Dingkuhn, Uttam Kumar
Rok vydání: 2016
Předmět:
0106 biological sciences
Phénotype
F62 - Physiologie végétale - Croissance et développement
Facteur climatique
01 natural sciences
F30 - Génétique et amélioration des plantes
Riz irrigué
F01 - Culture des plantes
Phyllochron
Path analysis (statistics)
U10 - Informatique
mathématiques et statistiques
food and beverages
Facteur du milieu
04 agricultural and veterinary sciences
Rendement des cultures
Phénologie
Modèle mathématique
Génotype
Intéraction génotype environnement
Adaptive value
Soil Science
Oryza sativa
Biology
Plasticity
Leaf size
Variété
Adaptation
Croissance
Panicle
Adaptabilité
Phenotypic plasticity
Modélisation des cultures
fungi
Modèle de simulation
Agronomy
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
Agronomy and Crop Science
Espacement
010606 plant biology & botany
Zdroj: Field Crops Research
ISSN: 0378-4290
DOI: 10.1016/j.fcr.2016.04.036
Popis: High-yielding rice varieties (HYV) show strong compensation among sequentially developed yield components (YC). This phenotypic plasticity has adaptive value but for crop improvement, more information is needed on its effects on yield. SAMARA, a deterministic crop model predicting trait-trait and trait-environment interactions by simulating morphogenetic processes and competition among sinks for assimilates, was developed to study crop phenotypic plasticity. Dynamics of YC and morphology were observed on the HYV IR72 planted at standard and 4-fold greater density in 4 environments in the Philippines in 2012/13. Data for other years/seasons were obtained for model validation. Sequential path analysis was used to determine the phenotypic plasticity of traits consecutively contributing to yield. Tiller number at flowering (R2 = 0.94) and maturity (R2 = 0.84) and grain yield (R2 = 0.77) were predicted accurately for independent datasets. The model also predicted accurately density effects on aboveground dry weight (agdw), plant height, leaf size, spikelet number per panicle and filling percentage. Tiller and leaf mortality were over-estimated under high density. Overall, the model predicted satisfactorily the sequential compensation processes among YCs. They led to stable grain yield despite large morphological differences among density treatments and environments. Sensitivity analysis of simulation outcomes vs. variation in crop parameters indicated that modified genotypic tillering ability, phyllochron or leaf size had little effect on final grain yield because of compensations by other traits, although IR72 appeared to have an optimal combination of parameter values. Larger effects on grain yield were predicted for variation of parameters affecting the sensitivity of leaf and tiller mortality to assimilate resources and the ability to mobilize stem non-structural carbohydrates during grain filling. The model will be used next to perform physiological trait dissection and plasticity analyses for diverse genotypes.
Databáze: OpenAIRE
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