Germplasm innovation for high-temperature tolerance from traditional rice accessions of Kerala using genetic variability, genetic advance, path coefficient analysis and principal component analysis

Beena, R.; Veena, V.; Jaslam, M. P. K.; Nithya, N.; Adarsh, V. S.

doi:10.1007/s12892-021-00103-7

Cited by 21 publications

(16 citation statements)

References 43 publications

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“…Estimates of GCV and PCV were recorded high for number of productive tillers per plant (PCV-28.30% and GCV-23.43), number of tillers per plant (PCV-30.08% and GCV-25.38), panicle weight (PCV-38.90% and GCV-35.26), number of unfilled grains per panicle (PCV-71.63% and GCV-64.53%), number of filled grains per panicle (PCV-35.32% and GCV-29.86%), total number of grains per panicle (PCV-34.86% and GCV-31.01%) and single plant yield (PCV-30.87% and GCV-25.05%). Results are in consistent with Nihad et al [14], Keerthiraj et al [9] for number of tillers per plant, Nihad et al [14], Keerthiraj et al [9], Kumar et al [11] for single plant yield, Nihad et al [14], Bhargava et al [15] for total number of grains per panicle, Nihad et al [14], Beena et al [16], Kumar et al [11] for the number of filled grains per panicle, Bhargava et al [15], Lakshmi et al [17] for number of productive tillers, Beena et al [16], Nihad et al [14], Saha et al [18] for number of unfilled grains, Shivani et al [19] for panicle weight. Similar to our results, the observations reported above for high PCV and GCV estimates in several genotypes of important yield and yieldrelated traits suggest that direct selection for these traits achieves genetic improvement.…”

Section: Resultssupporting

confidence: 87%

Genetic Variability, Heritability and Genetic Advance in 3K Rice (Oryza sativa L.) Genotypes

Sravani

Chug²,

Sundaram³

et al. 2022

IJECC

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The presence of genetic variation for specific traits in populations is of great importance for the development of crop improvement programs and the establishment of appropriate techniques for selection. In the winter of 2021, experiments were conducted to examine the extent of genetic variation in 50 genotypes of rice. Analysis of variance revealed the presence of highly significant differences in all 12 traits examined, indicating the presence of genetic variation between genotypes. The PCV was slightly greater than GCV for all the traits indicating the possibility for genetic improvement for these traits through direct selection. The PCV and GCV estimates were moderate for days to 50% flowering, plant height, panicle length, spikelet fertility and test weight, indicating that environmental factors are more important than genotype alone. Estimates of heritability and genetic advance were high for days to 50% flowering, plant height, number of tillers per plant, number of productive tillers per plant, number of grains per panicle, number of filled grains per panicle, total number of grains per panicle, panicle length, panicle weight, test weight, single plant yield, spikelet fertility. It is indicated that greater influence of additive gene action and it is effective for improvement of the traits in the study.

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Section: Resultssupporting

confidence: 87%

Genetic Variability, Heritability and Genetic Advance in 3K Rice (Oryza sativa L.) Genotypes

Sravani

Chug²,

Sundaram³

et al. 2022

IJECC

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“…In this regard, N-22 seems to be tolerant as the 1000 grain weight reduction in hightemperature stress was only -7.4%, followed by Ajay with -10.48% reduction and CR-Dhan 307 (-13.99%). A drastic reduction in the grain yield per plant by almost 90% was reported under high-temperature stress (35). The grain weight is a result of the accumulation of photo-assimilates that are translocated from the actively photosynthesising flag leaf and storage organs such as stems.…”

Section: Grain Weightmentioning

confidence: 99%

Identification of heat-tolerant rice genotypes and their molecular characterisation using SSR markers

Stephen

Beena²,

Neethu³

et al. 2022

Plant Sci. Today

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The effect of high-temperature stress has a critical impact in causing reduced crop yield. The focus of the current investigation is the identification of heat-tolerant rice varieties that can alleviate the effects of stress. Among the ten genotypes evaluated across various parameters such as leaf area, dry weight, photosynthetic rate, stomatal conductance and spikelet fertility, N-22 showed superior characteristics for the grain filling parameters along with CR-Dhan 307. The variety CR-Dhan 307 with significantly higher mean pollen viability (80.23%), spikelet fertility (81.18%) and 1000 grain weight (25.45 gm) can be utilized as a heat-tolerant variety. Other genotypes Ptb-7 and CR-Dhan 202 seemed to have tolerance traits beneficial at the vegetative stage. The genotype Rajalakshmi can be characterised as heat susceptible as it had significantly lower values for all parameters. Polymorphic analysis was carried out to validate SSR markers associated with heat tolerance. The polymorphic information content (PIC) was found to be the highest for RM236 and RM6100. The SSR marker RM6100 has been validated in the current investigation to be associated with heat tolerance. As the PIC value is an indication of the ability of the marker in indicating genetic diversity, the PIC values of the 11 polymorphic markers is useful for identify heat-tolerant genotypes. The genetic diversity analysis was carried out using DendroUPGMA to establish the relationship between the genotypes. The genotypes Ptb-7 and CR-Dhan 204 were thus found to be closely related to the heat-tolerant check variety, N-22 indicating genetically related traits for tolerance to heat.

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“…Grain yield (GY) is a multifaceted attribute that is impacted by an arrangement of genes, the environment in which they develop, and the degree and types of diversity in genotypes [ 17 ]. In addition, GY is directly or indirectly interrelated with other agronomic traits such as plant stature, growth spell, panicle length (PL), tiller per plant, loaded grains per panicle, and primary and secondary branches per panicle [ 18 , 19 ]. The primary focus of plant breeders concentrates on picking desirable features in the blend, granting each an economic gain based on GY to generate a preference index [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes

Faysal

Ali

Azam

et al. 2022

Plants

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A field experiment was carried out with 20 genotypes of Transplant Aman (T. Aman) rice at the Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Salna, Gazipur-1706, Bangladesh. The study was performed to evaluate the genetic deviation, trait association, and path coefficient (PC) based on grain yield (GY) and different yield-contributing agronomic characters. Variance analysis displayed extensive traits-wise variations across accessions, indicating variability and the opportunity for genetic selection for desirable traits. The high mean, range, and genotypic variances observed for most of the characters indicated a wide range of variation for these traits. All the characters indicated the minimum influence of environment on the expression of the trait and genetic factors had a significant role in the expressivity of these characters. High heritability in broad sense (h2b) and high to moderate genetic advance in percent of the mean (GAPM) were recorded for all the characters except for panicle length (PL). Based on mean, range, and all genetic parameters, the selection of all the traits except for PL would contribute to the development of T. Aman rice genotypes. A correlation study revealed that selection based on plant height (PH), number of effective tillers per hill (NET), PL, number of filled spikelets per panicle (NFS), flag leaf length (FLL), spikelet sterility (SS) percentage, and harvest index (HI) would be effective for increasing the GY of rice. Genotypic correction with grain yield (GCGY), PC and principal component analysis (PCA) revealed that direct selection of NFS, HI, SS%, and FLL would be effective for improving the GY of rice in future breeding programs.

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Germplasm innovation for high-temperature tolerance from traditional rice accessions of Kerala using genetic variability, genetic advance, path coefficient analysis and principal component analysis

Cited by 21 publications

References 43 publications

Genetic Variability, Heritability and Genetic Advance in 3K Rice (Oryza sativa L.) Genotypes

Genetic Variability, Heritability and Genetic Advance in 3K Rice (Oryza sativa L.) Genotypes

Identification of heat-tolerant rice genotypes and their molecular characterisation using SSR markers

Genetic Variability, Character Association, and Path Coefficient Analysis in Transplant Aman Rice Genotypes

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