Natural variation of top three leaf traits and their association with grain yield in rice hybrids

Guru, Tulasi; Padma, V.; Reddy, D. Vishnu Vardhan; Rao, P. Raghuveer; Rao, D. N.; Thatikunta, Ramesh; Radhakrishna, K.

doi:10.1007/s40502-017-0281-4

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Several previous studies have indicated that over 80% of the total assimilates in rice grains are generated from the top two leaves [6, 7], while more than 50% are produced by the flag leaf [7]. Other researchers recently confirmed the large contribution of the top three leaves of a rice plant to high photosynthetic efficiency and grain yield [8, 9]. Because the flag leaf is the main source of photosynthetic products supplied to the panicle, its removal significantly reduces 1,000-grain weight and panicle yield [10, 11, 12, 13, 14].…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association mapping of leaf mass traits in a Vietnamese rice landrace panel

et al. 2019

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Leaf traits are often strongly correlated with yield, which poses a major challenge in rice breeding. In the present study, using a panel of Vietnamese rice landraces genotyped with 21,623 single-nucleotide polymorphism markers, a genome-wide association study (GWAS) was conducted for several leaf traits during the vegetative stage. Vietnamese landraces are often poorly represented in panels used for GWAS, even though they are adapted to contrasting agrosystems and can contain original, valuable genetic determinants. A panel of 180 rice varieties was grown in pots for four weeks with three replicates under nethouse conditions. Different leaf traits were measured on the second fully expanded leaf of the main tiller, which often plays a major role in determining the photosynthetic capacity of the plant. The leaf fresh weight, turgid weight and dry weight were measured; then, from these measurements, the relative tissue weight and leaf dry matter percentage were computed. The leaf dry matter percentage can be considered a proxy for the photosynthetic efficiency per unit leaf area, which contributes to yield. By a GWAS, thirteen QTLs associated with these leaf traits were identified. Eleven QTLs were identified for fresh weight, eleven for turgid weight, one for dry weight, one for relative tissue weight and one for leaf dry matter percentage. Eleven QTLs presented associations with several traits, suggesting that these traits share common genetic determinants, while one QTL was specific to leaf dry matter percentage and one QTL was specific to relative tissue weight. Interestingly, some of these QTLs colocalize with leaf- or yield-related QTLs previously identified using other material. Several genes within these QTLs with a known function in leaf development or physiology are reviewed.

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Section: Introductionmentioning

confidence: 99%

Genome-wide association mapping of leaf mass traits in a Vietnamese rice landrace panel

et al. 2019

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“…Leaf structure and pigment content affect leaf spectral reflectance (Gausman and Allen 1973). The relatively high mesophyll cell number per leaf area of flag-leaf in comparison to the fully developed leaf (Pyke et al 1990) and variability in leaf thickness (Guru et al 2017) may explain the lower reflectance of the fully developed leaves in the range of 740-780 nm. Thus, it was expected to observe a reduction in the ability of spectral data to explain the variability in Chl-a and Chl-b content while analyzing the two leaf types together.…”

Section: Resultsmentioning

confidence: 99%

Spectral estimation of in-vivo wheat chlorophyll a/b ratio under contrasting water availabilities

Mulero

Bacher

Kleiner

et al. 2021

Preprint

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To meet the ever-growing global population necessities, it is needed to identify climate change-relevant plant traits to integrate into breeding programs. Developing new tools for fast and accurate estimation of chlorophyll parameters, chlorophyll a (Chl-a), chlorophyll b (Chl-b) content, and their ratio (Chl-a/b), can promote breeding programs of wheat with enhanced climate adaptively. Spectral reflectance of leaves is affected by changes in pigments concentration and can be used to estimate chlorophyll parameters. The current study identified and validated the top spectral indices known and developed new vegetation indices (VIs) for Chl-a and Chl-b content estimation and used them to non-destructively estimate Chl-a/b values and compare them to hyperspectral estimations. Three wild emmer introgression lines, with contrasting drought stress responsiveness dynamics, were selected. Well and limited irrigation irrigation regimes were applied. The wheat leaves were spectrally measured with a handheld spectrometer to acquire their reflectance at the 330 to 790 nm range. Regression models based on calculated VIs as well as all hyperspectral curves were calibrated and validated against chlorophyll extracted values. The developed VIs resulted in high accuracy of Chl-a and Chl-b estimation allowing indirect non-destructive estimation of Chl-a/b with root mean square error (RMSE) values that could fit 6 to 10 times in the range of the measured values. They also performed similarly to the hyperspectral models. Altogether, we present here a new tool for a non-destructive estimation of Chl-a/b which can serve as a basis for future breeding efforts of climate-resilience wheat as well as other crops.

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“…Our results showed significant positive associa tion of leaf thickness with PN in both populations. Recent study of Guru et al (2017) reported that IL 24K had the highest flag leaf length compared to other lines and hybrids. Takai et al (2010) showed that SPAD and specific leaf area (SLA) play a major role in increasing photosynthesis by increasing the leaf Chl content and leaf thickness.…”

Section: Marker-trait Associationmentioning

confidence: 94%

Characterization of Oryza nivara introgression lines: A potential prebreeding resource to improve net photosynthetic rate in elite cultivars of rice

Guttikonda¹,

Vishnukiran²,

Rao³

et al. 2019

Photosynt.

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Photosynthesis is one of the fundamental processes influencing crop growth and productivity. In order to understand better the basis of variation in net photosynthetic rate (PN) and yield potential in rice, two backcross populations derived from Swarna × O. nivara were studied. Gas exchange and chlorophyll fluorescence measurements were taken at flowering stage and data on yield traits at harvest. PN was significantly correlated with stomatal conductance, transpiration rate, mesophyll conductance, carboxylation efficiency, yield per plant (YLDP), and dry mass in both populations. Ten introgression lines (ILs) showed higher PN than their parents. IL 230S showed highest PN with increased YLDP than the remaining ILs. Single marker analysis showed RM514 and RM48 was positively associated with PN and YLDP in popA, whereas RM204 and RM122 in popB. The first 4 principal components contributed 92 and 93% to the total genetic variation in each population, respectively.

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Natural variation of top three leaf traits and their association with grain yield in rice hybrids

Cited by 4 publications

References 15 publications

Genome-wide association mapping of leaf mass traits in a Vietnamese rice landrace panel

Genome-wide association mapping of leaf mass traits in a Vietnamese rice landrace panel

Spectral estimation of in-vivo wheat chlorophyll a/b ratio under contrasting water availabilities

Characterization of Oryza nivara introgression lines: A potential prebreeding resource to improve net photosynthetic rate in elite cultivars of rice

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