A whole-system reconsideration of paradigms about photoperiod and temperature control of crop yield

Wallace, Don; Zobel, R. W.; Yourstone, K.S.

doi:10.1007/bf00223804

Cited by 31 publications

(18 citation statements)

References 45 publications

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“…These characteristics would be useful for stabilizing yield under short-season environments. The results are consistent with the widely believed hypothesis that early maturity is associated with a high harvest index (Wallace et al 1993;Anbessa et al 2007). A high harvest index and drought escape through early flowering and early maturity are considered to be important attributes of adaptation in chickpea under environments prone to drought stress (Berger et al 2004).…”

Section: Association Between Flowering Time and Other Agronomic Traitssupporting

confidence: 92%

Association of flowering time with phenological and productivity traits in chickpea

et al. 2019

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Phenology is an important trait for the adaption of chickpea (Cicer arietinum L.) to various target environments. The aim of this study was to determine the effects of flowering time on other phenological traits and yield-related traits. F 2 and F 3 segregating populations derived from the crosses of four early-flowering lines (ICCV 96029, ICC 5810, BGD 132 and ICC 16641) with a late-flowering cultivar (CDC Frontier) were used. In all crosses, flowering time showed significant positive association with days to pod initiation, days to maturity, plant height and biomass and non-significant correlation with number of pods per plant, number of seeds per plant and grain yield per plant. Flowering time had a positive correlation with 100-seed weight in all crosses, with the exception of ICC 16641 9 CDC Frontier where the correlation was non-significant. Harvest index was negatively associated with flowering time. In most of the crosses, early-and late-maturing F 3 bulks showed significant differences with respect to biomass and harvest index, while for grain yield and 100-seed weight the differences were found to be non-significant. These results indicate that flowering time could be used as a reliable selection criterion in breeding for early-maturing chickpea and that a reduction in the duration of flowering time and maturity may not necessarily have a yield penalty in these genetic backgrounds.

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Section: Association Between Flowering Time and Other Agronomic Traitssupporting

confidence: 92%

Association of flowering time with phenological and productivity traits in chickpea

et al. 2019

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“…There is a need to consider photoperiod effects not only in terms of their influence on flowering, but also their direct effects on yield which sometimes become evident even when there are no visible effects on flowering time [38]. These effects on yield could result through flowering synchrony, which in turn could affect dry matter partitioning as documented for common beans [39]. It is clear that a better understanding of the effects of photoperiod in driving dry matter partitioning of mungbean is required to improve yield in this crop.…”

Section: Crop Phenologymentioning

confidence: 99%

Physiological and Agronomic Strategies to Increase Mungbean Yield in Climatically Variable Environments of Northern Australia

Chauhan¹,

Williams²

2018

Agronomy

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Mungbean (Vigna radiata (L.) Wilczek) in Australia has been transformed from a niche opportunistic crop into a major summer cropping option for dryland growers in the summer-dominant rainfall regions of Queensland and New South Wales. This transformation followed stepwise genetic improvements in both grain yields and disease resistance. For example, more recent cultivars such as 'Crystal', 'Satin II', and 'Jade-AU' have provided up to a 20% yield advantage over initial introductions. Improved agronomic management to enable mechanised management and cultivation in narrow (<50 cm) rows has further promised to increase yields. Nevertheless, average yields achieved by growers for their mungbean crops remain less than 1 t/ha, and are much more variable than other broad acre crops. Further increases in yield and crop resilience in mungbean are vital. In this review, opportunities to improve mungbean productivity have been analysed at four key levels including phenology, leaf area development, dry matter accumulation, and its partitioning into grain yield. Improving the prediction of phenology in mungbean may provide further scope for genetic improvements that better match crop duration to the characteristics of target environments. There is also scope to improve grain yields by increasing dry matter production through the development of more efficient leaf canopies. This may introduce additional production risks as dry matter production depends on the amount of available water, which varies considerably within and across growing regions in Australia. Improving crop yields by exploiting G × E × M interactions related to cultivar photo-thermal sensitivities and make better use of available water in these variable environments is likely to be a less risky strategy. Improved characterisation of growing environments using modelling approaches could also better define and identify the risks of major abiotic constraints. This would assist in optimising breeding and management strategies to increase grain yield and crop resilience in mungbean for the benefit of growers and the industry.

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“…; Huyghe, 1998), and genetic variation for flowering is being utilized in all of these (e.g. Wallace et al, 1993;Sarker et al, 1999;Kumar and van Rheenen, 2000). A better understanding of flowering control in legumes will also benefit general understanding of the flowering process.…”

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confidence: 99%

Conservation of Arabidopsis Flowering Genes in Model Legumes

et al. 2005

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The model plants Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) have provided a wealth of information about genes and genetic pathways controlling the flowering process, but little is known about the corresponding pathways in legumes. The garden pea (Pisum sativum) has been used for several decades as a model system for physiological genetics of flowering, but the lack of molecular information about pea flowering genes has prevented direct comparison with other systems. To address this problem, we have searched expressed sequence tag and genome sequence databases to identify flowering-gene-related sequences from Medicago truncatula, soybean (Glycine max), and Lotus japonicus, and isolated corresponding sequences from pea by degenerate-primer polymerase chain reaction and library screening. We found that the majority of Arabidopsis flowering genes are represented in pea and in legume sequence databases, although several gene families, including the MADS-box, CONSTANS, and FLOWERING LOCUS T/TERMINAL FLOWER1 families, appear to have undergone differential expansion, and several important Arabidopsis genes, including FRIGIDA and members of the FLOWERING LOCUS C clade, are conspicuously absent. In several cases, pea and Medicago orthologs are shown to map to conserved map positions, emphasizing the closely syntenic relationship between these two species. These results demonstrate the potential benefit of parallel model systems for an understanding of flowering phenology in crop and model legume species.The change from vegetative to reproductive growth is a critical developmental transition in the life of a plant, and the induction, expression, and maintenance of the flowering state are regulated by many external and endogenous factors. A vast number of applied and fundamental studies have demonstrated the importance of light (through daylength and light-quality effects) and temperature (through vernalization and ambient temperature effects) as the main environmental regulators of flowering. However, other factors, including nutrient status, endogenous hormones, stress, and the developmental state of the plant, can also be important. Even with respect to light and temperature, great diversity in responsiveness exists within and between different plant species. These differences are important in the adaptation of species to particular latitudinal and climatic regions, and have also been extremely important for determining the environments and agronomic regimes under which crop species can be most effectively grown.The flowering process has been subject to detailed genetic analysis in Arabidopsis (Arabidopsis thaliana). As a small, weedy annual, Arabidopsis is responsive to a wide range of factors and has been invaluable in outlining the major genetic pathways that are likely to function in the control of flowering responses to photoperiod, vernalization, and hormone responses (Amasino, 2004;Boss et al., 2004;Putterill et al., 2004). It is likely that many of the genetic mechanisms discovered in Arabidopsis ...

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A whole-system reconsideration of paradigms about photoperiod and temperature control of crop yield

Cited by 31 publications

References 45 publications

Association of flowering time with phenological and productivity traits in chickpea

Association of flowering time with phenological and productivity traits in chickpea

Physiological and Agronomic Strategies to Increase Mungbean Yield in Climatically Variable Environments of Northern Australia

Conservation of Arabidopsis Flowering Genes in Model Legumes

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