Enhancing crop yield by optimizing plant developmental features

Mathan, Jyotirmaya; Bhattacharya, Juhi; Ranjan, Aashish

doi:10.1242/dev.134072

Cited by 157 publications

(98 citation statements)

References 140 publications

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“…As a successful example, Green Revolution cultivars, with their reduced plant stature, showed an increase in grain yield performance in intensive agriculture compared with traditional cultivars, and this was mainly due to the improved lodging resistance and enhanced nitrogen use efficiency (Gooding et al ; Xu et al ). In the following sections, we focus on the target traits already discussed, overviewing how the optimization of these traits can improve crop performance and yield (Zhu et al ; Mathan et al ; Wang et al ).…”

Section: Implications For Breedingmentioning

confidence: 99%

Genetics of barley tiller and leaf development

Shaaf

Bretani

Biswas

et al. 2019

JIPB

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In cereals, tillering and leaf development are key factors in the concept of crop ideotype, introduced in the 1960s to enhance crop yield, via manipulation of plant architecture. In the present review, we discuss advances in genetic analysis of barley shoot architecture, focusing on tillering, leaf size and angle. We also discuss novel phenotyping techniques, such as 2D and 3D imaging, that have been introduced in the era of phenomics, facilitating reliable trait measurement. We discuss the identification of genes and pathways that are involved in barley tillering and leaf development, highlighting key hormones involved in the control of plant architecture in barley and rice. Knowledge on genetic control of traits related to plant architecture provides useful resources for designing ideotypes for enhanced barley yield and performance.

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Section: Implications For Breedingmentioning

confidence: 99%

Genetics of barley tiller and leaf development

Shaaf

Bretani

Biswas

et al. 2019

JIPB

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“…As the demand for soya bean grows, the genetic improvement of soya bean cultivars to increase yields will become increasingly important (Teng et al, 2015). Shoot architecture is the most important trait of high-yielding crops, and shoot branching is a major component of shoot architecture (Barbier et al, 2017;Mathan et al, 2016). Since the 1990s, a major goal of plant scientists has been to improve soya bean yields by breeding cultivars with optimal branching and an ideal shoot architecture.…”

Section: Introductionmentioning

confidence: 99%

Genetic improvement of the shoot architecture and yield in soya bean plants via the manipulation of GmmiR156b

Sun

Yun

et al. 2018

Plant Biotechnology Journal

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The optimization of plant architecture in order to breed high-yielding soya bean cultivars is a goal of researchers. Tall plants bearing many long branches are desired, but only modest success in reaching these goals has been achieved. MicroRNA156 (miR156)-SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) gene modules play pivotal roles in controlling shoot architecture and other traits in crops like rice and wheat. However, the effects of miR156-SPL modules on soya bean architecture and yield, and the molecular mechanisms underlying these effects, remain largely unknown. In this study, we achieved substantial improvements in soya bean architecture and yield by overexpressing GmmiR156b. Transgenic plants produced significantly increased numbers of long branches, nodes and pods, and they exhibited an increased 100-seed weight, resulting in a 46%-63% increase in yield per plant. Intriguingly, GmmiR156b overexpression had no significant impact on plant height in a growth room or under field conditions; however, it increased stem thickness significantly. Our data indicate that GmmiR156b modulates these traits mainly via the direct cleavage of SPL transcripts. Moreover, we found that GmSPL9d is expressed in the shoot apical meristem and axillary meristems (AMs) of soya bean, and that GmSPL9d may regulate axillary bud formation and branching by physically interacting with the homeobox gene WUSCHEL (WUS), a central regulator of AM formation. Together, our results identify GmmiR156b as a promising target for the improvement of soya bean plant architecture and yields, and they reveal a new and conserved regulatory cascade involving miR156-SPL-WUS that will help researchers decipher the genetic basis of plant architecture.

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“…Whereas the properties studied here are not meant to allow for the reconstruction of individual plant architectures, they do help explain variance in architectures observed at the population level. Third, these properties may provide new evaluation strategies for genome engineering and plant selection that are critical for increasing crop yield [27, 28, 51]. Fourth, we used statistical moments to describe plant architectures; reverse engineering these moments to actual plant traits could provide a new method for understanding and comparing plant forms.…”

Section: Discussionmentioning

confidence: 99%

A Statistical Description of Plant Shoot Architecture

et al. 2017

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SUMMARY Plant architectures can be characterized statistically by their spatial density function, which specifies the probability of finding a branch at each location in the territory occupied by a plant. Using high-precision 3D scanning, we analyzed 557 plant shoot architectures, representing three species, grown across three to five environmental conditions, and through 20–30 developmental time points. We found two elegant properties in the spatial density functions of these architectures: all functions could be nearly modified in one direction without affecting the density in orthogonal directions (called “separability”), and all functions shared the same underlying shape, aside from stretching and compression (called “self-similarity”). Surprisingly, despite their striking visual diversity, we discovered that all architectures could be described as variations on a single underlying function: a Gaussian density function truncated at roughly two SDs. We also observed systematic variation in the spatial density functions across species, growth conditions, and time, which suggests functional specialization despite following the same general design form.

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Enhancing crop yield by optimizing plant developmental features

Cited by 157 publications

References 140 publications

Genetics of barley tiller and leaf development

Genetics of barley tiller and leaf development

Genetic improvement of the shoot architecture and yield in soya bean plants via the manipulation of GmmiR156b

A Statistical Description of Plant Shoot Architecture

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