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通过全株田间表型分析和不间断选择优化豇豆地方品种的资源分配,以在十年间维持遗传增益的增加

Optimizing Resource Allocation in a Cowpea ( L. Walp.) Landrace Through Whole-Plant Field Phenotyping and Non-stop Selection to Sustain Increased Genetic Gain Across a Decade.

作者信息

Omirou Michalis, Ioannides Ioannis M, Fasoula Dionysia A

机构信息

Department of Agrobiotechnology, Agricultural Research Institute, Nicosia, Cyprus.

Department of Plant Breeding, Agricultural Research Institute, Nicosia, Cyprus.

出版信息

Front Plant Sci. 2019 Aug 7;10:949. doi: 10.3389/fpls.2019.00949. eCollection 2019.

Abstract

Cowpea is a warm-season legume, often characterized as an orphan or underutilized crop, with great future potential, particularly under the global change. A traditional cowpea landrace in Cyprus is highly valued for fresh pod consumption in the local cuisine. In order to improve the yield potential of the landrace, the long-term response to direct selection for fresh pod yield and the associated changes in fodder and root biomass were investigated in a variety of fertility regimes under real field conditions. The non-stop selection process employed comprehensive pod, fodder, and root phenotyping at the level of the individual plant and resulted in the creation of a range of highly improved sibling lines with differential adaptation to micro-environments and with an improved ratio of pod to shoot and root biomass. The average rate of increase per year for fresh pod yield is at the level of 180 g per plant despite the relatively narrow genetic base of a single landrace and it is seemingly inexhaustible testifying to the great plasticity of the cowpea genome and the potential of the methodology to capture it. The corresponding high genetic gain was also confirmed under dense stands where the difference in pod yield between the best selection and the control amounted to 31.37%. Thus, the new focus apart from the simple variety maintenance should also include the continuous improvement and exploitation of micro-adaptation processes specific for individual fields that allow quick responses to environmental and climatic changes. This work presents also a novel approach to the multiple challenges encountered in root phenotyping and a method to meaningfully associate it with whole-plant performance in field conditions.

摘要

豇豆是一种喜温豆类,常被视为一种未被充分利用的小众作物,具有巨大的未来潜力,尤其是在全球变化的背景下。塞浦路斯的一个传统豇豆地方品种因其新鲜豆荚可用于当地烹饪而备受重视。为了提高该地方品种的产量潜力,在实际田间条件下的多种肥力状况下,研究了对新鲜豆荚产量进行直接选择的长期响应以及饲料和根生物量的相关变化。不间断的选择过程在单株水平上采用了全面的豆荚、饲料和根表型分析,从而培育出一系列高度改良的姊妹系,这些姊妹系对微环境具有不同的适应性,且豆荚与地上部和根生物量的比例有所提高。尽管单一地方品种的遗传基础相对狭窄,但新鲜豆荚产量的年平均增长率仍达到每株180克,这似乎无穷无尽,证明了豇豆基因组具有很大的可塑性以及该方法捕捉这种可塑性的潜力。在高密度种植条件下也证实了相应的高遗传增益,最佳选择与对照之间的豆荚产量差异达31.37%。因此,除了简单的品种维持之外,新的重点还应包括持续改进和利用针对各个田地的微适应过程,以便快速应对环境和气候变化。这项工作还提出了一种应对根表型分析中遇到的多重挑战的新方法,以及一种在田间条件下将其与整株性能有意义地关联起来的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d7f/6694199/6b2111bd7631/fpls-10-00949-g001.jpg

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