scholarly journals Uncovering Trait Associations Resulting in Maximal Seed Yield in Winter and Spring Oilseed Rape

2021 ◽  
Vol 12 ◽  
Author(s):  
Laura Siles ◽  
Kirsty L. Hassall ◽  
Cristina Sanchis Gritsch ◽  
Peter J. Eastmond ◽  
Smita Kurup

Seed yield is a complex trait for many crop species including oilseed rape (OSR) (Brassica napus), the second most important oilseed crop worldwide. Studies have focused on the contribution of distinct factors in seed yield such as environmental cues, agronomical practices, growth conditions, or specific phenotypic traits at the whole plant level, such as number of pods in a plant. However, how female reproductive traits contribute to whole plant level traits, and hence to seed yield, has been largely ignored. Here, we describe the combined contribution of 33 phenotypic traits within a B. napus diversity set population and their trade-offs at the whole plant and organ level, along with their interaction with plant level traits. Our results revealed that both Winter OSR (WOSR) and Spring OSR (SOSR); the two more economically important OSR groups in terms of oil production; share a common dominant reproductive strategy for seed yield. In this strategy, the main inflorescence is the principal source of seed yield, producing a good number of ovules, a large number of long pods with a concomitantly high number of seeds per pod. Moreover, we observed that WOSR opted for additional reproductive strategies than SOSR, presenting more plasticity to maximise seed yield. Overall, we conclude that OSR adopts a key strategy to ensure maximal seed yield and propose an ideal ideotype highlighting crucial phenotypic traits that could be potential targets for breeding.

2020 ◽  
Author(s):  
Laura Siles ◽  
Kirsty L. Hassall ◽  
Cristina Sanchis-Gritsch ◽  
Peter J. Eastmond ◽  
Smita Kurup

AbstractSeed yield is a complex trait for many crop species including oilseed rape (Brassica napus), the second most important oilseed crop worldwide. Studies have focused on the contribution of distinct factors in seed yield such as environmental cues, agronomical practices, growth conditions or specific phenotypic traits at the whole plant level, such as number of pods in a plant. However, in spite of the immense economic importance of oilseeds, none of these studies have comprehensively analysed individual traits and their combined contribution to seed yield. Here, we describe the analysis and contribution of 33 phenotypic traits within a B. napus diversity set population and their trade-offs on seed yield not only at the whole plant level but also the less studied female reproductive traits. Our results revealed that both winter and spring oilseed rape; the two more economically important oilseed rape groups in terms of oil production; were found to share a common dominant reproductive strategy for seed yield. In this strategy the main inflorescence is the principal source of seed yield, producing a good number of ovules, a large number of long pods with a concomitantly high number of seeds per pod. We observed that winter oilseed rape opted for more reproductive strategies than spring oilseed rape, presenting more environmental flexibility to maximise seed yield. Overall, we conclude that, oilseed rape adopts a similar strategy that is key for maximal seed yield and propose an ideal ideotype highlighting crucial phenotypic traits that could be potential targets for breeding.One sentence summaryThe main florescence is the principal source of seed yield in winter and spring oilseed rape, with winter oilseed rape following several reproductive strategies to maximise seed yield.


2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Kyle Parmley ◽  
Koushik Nagasubramanian ◽  
Soumik Sarkar ◽  
Baskar Ganapathysubramanian ◽  
Asheesh K. Singh

The rate of advancement made in phenomic-assisted breeding methodologies has lagged those of genomic-assisted techniques, which is now a critical component of mainstream cultivar development pipelines. However, advancements made in phenotyping technologies have empowered plant scientists with affordable high-dimensional datasets to optimize the operational efficiencies of breeding programs. Phenomic and seed yield data was collected across six environments for a panel of 292 soybean accessions with varying genetic improvements. Random forest, a machine learning (ML) algorithm, was used to map complex relationships between phenomic traits and seed yield and prediction performance assessed using two cross-validation (CV) scenarios consistent with breeding challenges. To develop a prescriptive sensor package for future high-throughput phenotyping deployment to meet breeding objectives, feature importance in tandem with a genetic algorithm (GA) technique allowed selection of a subset of phenotypic traits, specifically optimal wavebands. The results illuminated the capability of fusing ML and optimization techniques to identify a suite of in-season phenomic traits that will allow breeding programs to decrease the dependence on resource-intensive end-season phenotyping (e.g., seed yield harvest). While we illustrate with soybean, this study establishes a template for deploying multitrait phenomic prediction that is easily amendable to any crop species and any breeding objective.


Weed Science ◽  
1996 ◽  
Vol 44 (1) ◽  
pp. 133-136 ◽  
Author(s):  
Barry J. Brecke ◽  
Donn G. Shilling

Field studies were conducted to determine the effect of crop species, tillage, and rye mulch on sicklepod growth. Competition from soybean and sunflower reduced sicklepod biomass by 19 and 77%, respectively. Sicklepod height was reduced by rye mulch. Rye root residue caused 49% reduction in sicklepod biomass, while whole plant rye mulch reduced weed growth an additional 12%. Crop competition reduced sicklepod shoot biomass to a greater extent when rye residue was present. Crop seed yield was 32% lower in tilled plots compared with no-tillage due to more weed competition in the tilled plots. In the presence of rye root residue, soybean yield showed a two-fold increase over no mulch or whole plant rye mulch. Sunflower yield increased by 30% in the presence of rye residue compared with no mulch.


2021 ◽  
Author(s):  
Alexander Calderwood ◽  
Laura Siles Suarez ◽  
Peter J. Eastmond ◽  
Smita Kurup ◽  
Richard J Morris

The improvement of crop yield has long been a major breeding target and is increasingly becoming a goal in many areas of plant research. Yield has been shown to be a complex trait, depending on multiple genes, plant architecture and plant-environment interactions. This complexity is frequently reduced by focussing on contributing factors to yield (yield traits). However, a quantitative understanding of the interplay between yield traits, and the effect of these relationships on yield is largely unexplored. Consequently, the extent to which crop varieties achieve their optimal morphology in a given environment and how this impacts on seed yield is unknown. Here we use causal inference to model the hierarchically structured effects of 27 macro and micro yield traits on each other over the course of plant development, and on seed yield in Spring and Winter oilseed rape plants. We perform Bayesian optimisation on the modelled yield potential, identifying the morphology of ideotype plants which are expected to be higher yielding than the existing varieties in the studied panels. We find that existing Spring varieties occupy the optimal regions of trait-space, but that potentially high yielding strategies are unexplored in extant Winter varieties. In addition to concrete recommendations for varietal improvement in oilseed rape, this work provides a novel, general methodological framework for the study of crop breeding as an optimisation problem.


Author(s):  
Maren N. Vitousek ◽  
Laura A. Schoenle

Hormones mediate the expression of life history traits—phenotypic traits that contribute to lifetime fitness (i.e., reproductive timing, growth rate, number and size of offspring). The endocrine system shapes phenotype by organizing tissues during developmental periods and by activating changes in behavior, physiology, and morphology in response to varying physical and social environments. Because hormones can simultaneously regulate many traits (hormonal pleiotropy), they are important mediators of life history trade-offs among growth, reproduction, and survival. This chapter reviews the role of hormones in shaping life histories with an emphasis on developmental plasticity and reversible flexibility in endocrine and life history traits. It also discusses the advantages of studying hormone–behavior interactions from an evolutionary perspective. Recent research in evolutionary endocrinology has provided insight into the heritability of endocrine traits, how selection on hormone systems may influence the evolution of life histories, and the role of hormonal pleiotropy in driving or constraining evolution.


2016 ◽  
Vol 118 (4) ◽  
pp. 655-665 ◽  
Author(s):  
C. L. Thomas ◽  
N. S. Graham ◽  
R. Hayden ◽  
M. C. Meacham ◽  
K. Neugebauer ◽  
...  

2000 ◽  
Vol 14 (6) ◽  
pp. 675-684 ◽  
Author(s):  
J. Clobert ◽  
A. Oppliger ◽  
G. Sorci ◽  
B. Ernande ◽  
J. G. Swallow ◽  
...  

Author(s):  
K. Rajalakshmi ◽  
N. Manivannan ◽  
G. Anand ◽  
C. Vanniarajan ◽  
S. Harish

Background: Blackgram is an important pulse crop consumed in the form of fermented cuisines especially in south India. Yield being a complex trait, is highly influenced by environment. Studies on environmental influence on batter quality are rare. Hence, the current study was taken up to identity stable genotypes over environments with respect to yield and batter quality traits.Methods: In the present study, 32 blackgram genotypes were evaluated for yield performance and batter quality traits during kharif 2019, rabi 2019-20 and summer 2020 at National Pulses Research Centre, Vamban. Pooled analysis of variance and stability analysis was performed by AMMI and GGE biplot.Result: From stability analysis, it was evident that the genotypes, ACM BG 17-001, ACM BG 17-006 and ACM BG 18-010 expressed high mean value and stability for seed yield. In case of idly batter volume, the genotypes, ACM BG 17-001 was stable hence may be recommended for all season cultivation. The trait, vada batter volume was found to be with non-significant GxE interaction and hence do not interact with the environment. Among the environments under study, summer season was the most favourable environment for seed yield. However, for idly batter quality, kharif season was the most favourable environment.


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