Study on Plant Morphological Traits and Production Characteristics of Super High-Yielding Soybean

Breeders have seldom considered the selection for root traits during the genetic improvement in soybean. It is hypothesized that grain yield would be increased by the root function improvement, especially for the current cultivars. The objective of this grafting experiment was to determine the effect of record‐yield cultivars L14 or Z35 as rootstocks on agronomic traits of cultivars released in different decades. A total of 11 cultivars, released in different decades, were used to graft onto L14 or Z35 rootstocks. The agronomic traits were measured in the pot‐culture experiments. Grafting cultivars released in different decades onto L14 or Z35 rootstocks resulted in higher yield, 100‐seed mass and apparent harvest index as compared with those of non‐grafted or self‐grafted plants. Grain yield gain of cultivars grafted onto record‐yield cultivar rootstocks was 0.40 g/plant/year from 1966 to 2006, which was larger than that of non‐grafts and self‐grafts (0.27 g/plant/year). The yield of current cultivars should increase more if their root functions were improved.

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“…They had higher yield potential than common cultivars (Ao et al. ), which was attributed to strong root physiological activity (Zhang et al. ).…”

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confidence: 99%

Agronomic traits of soybean cultivars released in different decades after grafting record‐yield cultivar as rootstock

Teng

Rao

et al. 2017

Plant Breeding

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“…Previous studies have demonstrated that the high-yielding soybean has more branches and pods than ordinary cultivars under both high and low planting densities (Ao et al , 2013). We expected to identify a positive allelic variation in BN and PN in G. soja to improve the canopy structure, plant growth and yield of the cultivated soybeans by using this CSSL population.…”

Section: Resultsmentioning

confidence: 99%

QTL mapping for the number of branches and pods using wild chromosome segment substitution lines in soybean [Glycine max (L.) Merr.]

Yang

Xiang

et al. 2014

Plant Genet. Resour.

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Annual wild soybean characterized with more number of branches and pods may contain favourable exotic genes/alleles for improving the yield potential of cultivated soybeans. To evaluate the wild alleles/segments, the chromosome segment substitution line population SojaCSSLP3 comprising 158 lines with N24852 (wild) as the donor and NN1138-2 (cultivated) as the recurrent parent was tested under three environments. The phenotypic data along with 198 simple sequence repeat markers were analysed for qualitative trait loci (QTL)/segments associated with the number of branches on the main stem (BN) and number of pods per plant (PN) using the inclusive composite interval mapping procedure (RSTEP-LRT-ADD model) of ICIM version 3.0. The analysis was carried out for individual environments due to a significant G £ E interaction. A total of eight QTL/segments associated with BN and eight QTL/segments associated with PN were detected under the three environments, with all the wild segments having positive effects. Among these, two QTL/segments for each of the two traits could be detected under two or three environments and three QTL/segments could be detected for both traits. Four QTL/segments associated with BN and one QTL/segment associated with PN were identified only in SojaCSSLP3, not reported for cultivated crosses in the literature. The detected wild segments may provide materials for further characterization, cloning and pyramiding of the alleles conferring the two traits. Keywords: chromosome segment substitution lines; number of branches on the main stem; number of pods per plant; QTL/segment detection; wild soybean (Glycine soja Sieb. et Zucc.) * Corresponding authors.

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“…Good plant morphology is beneficial to the spatial configuration of plants, and the full use of available light energy and gas exchange in the canopy, which ultimately contributes to yield improvements (Ao et al 2013). According to the study of Chen et al (2005), the utilization ratio of light energy is increased and thus the yield of the rice is promoted.…”

Section: Design Of Fitness Functionmentioning

confidence: 99%

Genetic algorithm based approach to optimize phenotypical traits of virtual rice

Ding

Yang

et al. 2016

Journal of Theoretical Biology

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How to select and combine good traits of rice to get high-production individuals is one of the key points in developing crop ideotype cultivation technologies. Existing cultivation methods for producing ideal plants, such as field trials and crop modeling, have some limits. In this paper, we propose a method based on a genetic algorithm (GA) and a functional-structural plant model (FSPM) to optimize plant types of virtual rice by dynamically adjusting phenotypical traits. In this algorithm, phenotypical traits such as leaf angles, plant heights, the maximum number of tiller, and the angle of tiller are considered as input parameters of our virtual rice model. We evaluate the photosynthetic output as a function of these parameters, and optimized them using a GA. This method has been implemented on GroIMP using the modeling language XL (eXtended L-System) and RGG (Relational Growth Grammar). A double haploid population of rice is adopted as test material in a case study. Our experimental results show that our method can not only optimize the parameters of rice plant type and increase the amount of light absorption, but can also significantly increase crop yield.

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Study on Plant Morphological Traits and Production Characteristics of Super High-Yielding Soybean

Cited by 10 publications

References 5 publications

Agronomic traits of soybean cultivars released in different decades after grafting record‐yield cultivar as rootstock

Agronomic traits of soybean cultivars released in different decades after grafting record‐yield cultivar as rootstock

QTL mapping for the number of branches and pods using wild chromosome segment substitution lines in soybean [Glycine max (L.) Merr.]

Genetic algorithm based approach to optimize phenotypical traits of virtual rice

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