scholarly journals Stability analysis of rice (Oryza sativa L.) under different micro-environments

2021 ◽  
Vol 58 (4) ◽  
pp. 477-486
Author(s):  
Deepak Katkani ◽  
SK Payasi ◽  
Vinod Patel ◽  
Jay Prakash Chamar
Keyword(s):  
Stability Analysis ◽  
Grain Yield ◽  
Management Practices ◽  
Regression Coefficient ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Mean Value ◽  
Leaf Angle ◽  
Stability Parameters ◽  
Direct Seeded

The present research was undertaken to evaluate 32 rice genotypes for grain yield and its attributing traits under three micro-environments like., direct seeded condition (E-I), transplanting at spacing of 15 x 15 cm (E-II) and 25 x 15 cm (E-III). Adopting the Eberhart and Russell (1966) model, stability analysis of variance revealed significant differences among the genotypes for days to 50% flowering, days to maturity, plant height, panicle length, number of grains per panicle and flag leaf angle. Stability parameters for grain yield per plant indicated that the genotypes Rewa 1329-4-26-1, Rewa 1326-11-67-2 and Rewa 1326-16-1 had regression coefficient less than one and mean value higher than average mean this depicted that these genotypes have wider adaptability and suitability for all micro- environments and the genotypes Rewa 1329-4-123-11, Rewa 1328-18-16 and Rewa 1326-3-34-4 had regression coefficient less than one and deviation from regression around zero were identified as highly stable and best suited for poor management practices like, direct seeded condition.

scholarly journals Seed Priming with Potassium Nitrate and Gibberellic Acid Enhances the Performance of Dry Direct Seeded Rice (Oryza sativa L.) in North-Western India

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 849
Author(s):  
Buta Singh Dhillon ◽  
Virender Kumar ◽  
Pardeep Sagwal ◽  
Navjyot Kaur ◽  
Gurjit Singh Mangat ◽  
...  
Keyword(s):  
Gibberellic Acid ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Seed Priming ◽  
Potassium Nitrate ◽  
Growth And Yield ◽  
Western India ◽  
Yield Attributes ◽  
Crop Establishment ◽  
Direct Seeded

Poor early growth and uneven crop establishment are reported as the major bottlenecks in wide-scale adoption and optimal yield realization of dry direct-seeded rice (DSR). Seed priming can potentially help overcome these problems in DSR. Therefore, laboratory and field studies were conducted at Punjab Agricultural University, Ludhiana, India, during kharif/wet-season 2018 and 2019 to evaluate the effect of different priming techniques on germination, establishment, growth, and grain yield of rice under DSR conditions. The following priming treatments were evaluated: dry non-primed seed (control), hydropriming with distilled water, halopriming with 2.0% potassium nitrate, hormopriming with 50 ppm gibberellic acid (GA3), and osmopriming with polyethylene glycol (PEG)(−0.6 MPa), each with 12 and 24 h priming duration. In 2019, priming treatments were tested under two DSR establishment methods—conventional DSR (sowing in dry soil followed by irrigation) and soil mulch DSR (locally known as vattar DSR) (sowing in moist soil after pre-sowing irrigation), whereas in 2018, priming treatments were evaluated under conventional DSR only. In both years, halopriming and hormopriming resulted in a 7–11% increase in rice yields compared to non-primed dry seed (control). Osmopriming resulted in a 4% yield increase compared to control in 2018 but not in 2019. The higher yields in halopriming and hormopriming were attributed to higher and rapid germination/crop emergence, better root growth, and improvement in yield attributes. Priming effect on crop emergence, growth, and yield did not differ by DSR establishment methods and duration of priming. Conventional DSR and soil mulch DSR did not differ in grain yield, whereas they differed in crop emergence, growth, and yield attributes. These results suggest that halopriming with 2.0% potassium nitrate and hormopriming with 50 ppm GA3 has good potential to improve crop establishment and yield of rice in both conventional and soil mulch DSR systems.

scholarly journals Detection of QTLs for Outcrossing-Related Traits in CSSL Population Derived from Primitive Japonica Accession Ludao in the Genetic Background of O. sativa spp. Japonica Restorer C-bao Using RSTEP-LRT Method

Agronomy ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 28
Author(s):  
Lal Bux ◽  
Dalu Li ◽  
Muhammad Faheem ◽  
Nour Ali ◽  
Muzafar Hussain Sirohi ◽  
...  
Keyword(s):  
Seed Production ◽  
Hybrid Rice ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Leaf Angle ◽  
Ratio Test ◽  
Phenotypic Variance ◽  
Rice Seed ◽  
Hybrid Seed Production ◽  
Cms Line

The outcrossing traits in rice (Oryza sativa L.) affect the yield of hybrid seed production. Using a cytoplasmic male sterile (CMS) line with good outcrossing traits, such as short flag leaf length (FLL), narrow flag leaf width (FLW), wide flag leaf angle (FLA), and elongated panicle neck length (PNL), for hybrid rice seed production, it is possible to avoid the procedure of cutting flag leaves and make the supplementary pollination feasible by machine. In this study, a japonica restorer C-bao as the receptor parent and a primitive japonica accession Ludao as the donor parent were used to construct a chromosome segment substitution line (CSSL) population. The CSSL population was used to detect quantitative trait loci (QTLs) for the four outcrossing traits using a likelihood ratio test based on the stepwise regression (RSTEP-LRT) method. The CSSL population constructed consisted of 163 lines covering 90.7% of the donor genome. Among the seven QTLs detected in the CSSL population, four QTLs were detected in both years. qFLL-4 explained 6.70% of the two-year-averaged phenotypic variance, and the alleles from Ludao decreased FLL 5.1 cm. qFLA-1.1 and qFLA-1.2 explained 7.85% and 21.29% of the 2-year-averaged phenotypic variance respectively, and the alleles from Ludao increased FLA 17.38° and 31.50°. qPNL-8 explained 8.87% of the 2-year-averaged phenotypic variance, and the alleles from Ludao increased PNL 4.44 cm. These favorable alleles identified could be used to improve the outcrossing traits of parents for hybrid rice seed production in rice.

scholarly journals Effect of seedling age, seeding density and nitrogen fertilizer on growth and grain yield of rice (Oryza sativa L.)

2019 ◽  
Vol 3 (1) ◽  
pp. 81
Author(s):  
Saroj Thapa ◽  
Khagendra Thapa ◽  
Jiban Shrestha ◽  
Amit Chaudhary
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Management Practices ◽  
Oryza Sativa L ◽  
Critical Factor ◽  
Growth And Yield ◽  
Seeding Density ◽  
Potential Yield ◽  
Seedling Age ◽  
Nitrogen Rates

Rice (Oryza sativa L.) is first staple crop of Nepal. The national average yield of rice is less than its potential yield, for which poor agronomic management has been reported as the critical factor. Among various agro-management practices seedling age, seeding density and nitrogen rates significantly affect the growth and yield of rice. The lower seeding density produces the taller plant, more effective tiller, lower sterility and higher grain yield. On the other hand, seedling of older age from higher seeding density gives the lowest yield. Transplanting younger seedling with low seeding density and application of recommended dose of nitrogen gives a higher yield. This article summarizes various effects of seedling age, seeding density and nitrogen rates on plant height, number of effective tillers, number of filled grains, thousand grain weight and grain yield of rice. This information may be useful for maize growers and researchers.

scholarly journals Genetic variability, character association and diversity analyses for economic traits in rice (Oryza sativa L.)

2014 ◽  
Vol 10 (2) ◽  
pp. 83-94 ◽  
Author(s):  
N Pratap ◽  
PK Singh ◽  
R Shekhar ◽  
SK Soni ◽  
AK Mall
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Selection Strategy ◽  
Economic Traits ◽  
Character Association ◽  
Yield And Yield Components ◽  
Biological Yield ◽  
High Yielding Varieties

One hundred high yielding rice genotypes were evaluated to determine character association, variability and diversity for grain yield, yield components and quality characters. High estimates of heritability, genetic advance, genotypic and phenotypic coefficients of variation were recorded for panicle hill-1, flag leaf area and grain yield hill-1. Majority of the traits showed significant and positive associations between yield and yield components like biological yield hill-1 followed by harvest-index as most important traits which need due consideration at the time of devising selection strategy. Thus, presence of several contrasting types of inter-relationships simultaneously would bring improvement in others due to correlated responses. Path analysis might have resulted into cancellation of contrasting associations by each other which ultimately lead to lowering of the net impact. This suggested that selection would be quite efficient in improving yield and yield components in context of germplasm evaluated. The crossing between superior genotypes of above diverse cluster pairs may provide desirable transgressive segregants for developing high yielding varieties of aromatic and non-aromatic rice. Thus, hybridization of Swarna of cluster XI with promising genotypes of cluster VI (Narendra 118, Vandana, Narendra 1, Akashi and Narendra 97) is recommended. DOI: http://dx.doi.org/10.3329/sja.v10i2.18326 SAARC J. Agri., 10(2): 83-94 (2012)

scholarly journals Repeatability of adaptability and stability parameters of common bean in unpredictable environments

2013 ◽  
Vol 48 (9) ◽  
pp. 1254-1259 ◽  
Author(s):  
Lidiane Kely de Lima ◽  
Magno Antonio Patto Ramalho ◽  
Ricardo Augusto Diniz Cabral Ferreira ◽  
Ângela de Fátima Barbosa Abreu
Keyword(s):  
Grain Yield ◽  
Common Bean ◽  
Regression Coefficient ◽  
Coefficient Of Determination ◽  
Yield Data ◽  
Stability Parameters ◽  
Small Magnitude ◽  
Unpredictable Environments ◽  
Minas Gerais State ◽  
Sowing Season

The objective of this work was to estimate the repeatability of adaptability and stability parameters of common bean between years, within each biennium from 2003 to 2012, in Minas Gerais state, Brazil. Grain yield data from trials of value for cultivation and use common bean were analyzed. Grain yield, ecovalence, regression coefficient, and coefficient of determination were estimated considering location and sowing season per year, within each biennium. Subsequently, a analysis of variance these estimates was carried out, and repeatability was estimated in the biennia. Repeatability estimate for grain yield in most of the biennia was relatively high, but for ecovalence and regression coefficient it was null or of small magnitude, which indicates that confidence on identification of common bean lines for recommendation is greater when using means of yield, instead of stability parameters.

QTL analysis related to the flag-leaf angle related with it gene in rice (Oryza sativa L.)

Euphytica ◽  
2019 ◽  
Vol 215 (6) ◽  
Author(s):  
Jeong-Gwan Ham ◽  
Hak Yoon Kim ◽  
Kyung-Min Kim
Keyword(s):  
Oryza Sativa ◽  
Qtl Analysis ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Leaf Angle

scholarly journals Genotype and environment interaction and stability analysis for seed yield in yellow mung bean (Vigna radiata L.)

2014 ◽  
Vol 6 (2) ◽  
pp. 782-785
Author(s):  
B. Arunkumar ◽  
C. R. Konda
Keyword(s):  
Stability Analysis ◽  
Vigna Radiata ◽  
High Performance ◽  
High Stability ◽  
Maximum Yield ◽  
Pooled Analysis ◽  
Mean Value ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Yield Performance

Nine yellow seeded mung (Vigna radiata L.) genotypes were evaluated along with three checks for their yield performance during three years (2007, 2010 and 2011). Pooled analysis of variance and stability analysis were performed. The genotypic (G) × environment (E) interaction and both variance due to genotypes and environment were significant. The portioning of G × E interaction into linear and non-linear components indicated that both predictable and unpredictable components shared the interaction. On the basis of stability parameters, the top yielding genotypes such as BGS-9 (605.444 Kg/Ha), Sel-4 (519.778 Kg/Ha) and China mung (567.000 Kg/Ha) exhibited high mean yield. Based on stability parameters the genotypes YM-5 (459.889 Kg/Ha), YM-8 (451.333 Kg/Ha) exhibited low mean performance along with regression value nearer to unity (bi=1) and non significant deviation from regression (S2 di=0) indicating the high stability and wider adaptability across the three environments. The genotypes BGS-9 (605.444 Kg/Ha) and Sel-4 (519.778 Kg/Ha) exhibited high mean value and bi values (bi>1) and non significant deviation (S2 di < 0) value indicating adapted for high performance environments (These genotypes are sensitive to environments and give maximum yield when inputs are not limited).

scholarly journals Effective weed management practices to control complex weed flora in different cultivars of hybrid and high yielding varieties of rice (Oryza sativa L.)

2016 ◽  
Vol 2 ◽  
pp. 14-19
Author(s):  
Paramita Biswas ◽  
◽  
Ratikanta Ghosh ◽  
Keyword(s):  
Grain Yield ◽  
Weed Management ◽  
Management Practices ◽  
Hybrid Rice ◽  
Oryza Sativa L ◽  
Weed Flora ◽  
High Yielding Varieties ◽  
Hand Weeding ◽  
Control Complex ◽  
Plot Design

A field experiment was conducted during Summer and Kharif seasons of 2007-08 and 2008-09 at Bidhan Chandra Krishi Viswavidyalaya, Nadia, West Bengal, India to study the effect of hand weeding and Pretilachlor 50 EC @ 500 g a.i. ha-1 as pre-emergence on weed management of different varieties of hybrid and high yielding rice. The experiment was laid out in a split-plot design with three replications for both the years. It has been observed that Pretilachlor 50 EC @ 500 g a.i. ha-1 has a significant effect to control complex weed flora both in hybrid and high yielding varieties of rice but hand weeding twice gave the better result as expected. Among the varieties, the hybrid varieties recorded 36% and 32% more grain yield in Summer and Kharif seasons respectively than high yielding varieties (HYV). The high yielding variety 6444 (V2) showed more grain yield during Summer and Kharif seasons than that of the hybrid 6129 (V1), 97158 (V6), and 96110 (V3), respectively. Regarding weed management, hand weeding twice recorded (13% & 36%) higher grain yield during Summer than that of the chemical treatment and unweeded check, and (20% & 42%) during Kharif seasons respectively. Among the interaction, hand weeding combined with all varieties of hybrid rice recorded higher yield in comparison to other treatment combinations.

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