Inter-relationship between yield and some selected agronomic characters in rice

Luzi-Kihupi, Ashura

doi:10.4314/acsj.v6i3.27805

Cited by 9 publications

(4 citation statements)

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“…Similar results of harvest index on yield/plant were reported by Ganesan et al (1998) and Chaturvedi et al (2008); of panicle length on yield/plant by Kishor et al (2008); of grain weight on yield/plant by Chaturvedi et al (2008) and Luzi Kihupi (1998). Plant height and panicles/plant resulted high positive indirect effect on yield/plant via harvest index.…”

Section: Correlationsupporting

confidence: 84%

Quantitative Genetic Analysis for Yield and Yield Components in Boro Rice (Oryza sativa L.)

et al. 2010

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Twenty-nine genotypes of boro rice (Oryza sativa L.) were grown in a randomized block design with three replications in plots of 4m x 1m with a crop geometry of 20 cm x 20 cm between November-April, in Regional Agricultural Research Station, Nagaon, India. Quantitative data were collected on five randomly selected plants of each genotype per replication for yield/plant, and six other yield components, namely plant height, panicles/plant, panicle length, effective grains/panicle, 100 grain weight and harvest index. Mean values of the characters for each genotype were used for analysis of variance and covariance to obtain information on genotypic and phenotypic correlation along with coheritability between two characters. Path analyses were carried out to estimate the direct and indirect effects of boro rice's yield components. The objective of the study was to identify the characters that mostly influence the yield for increasing boro rice productivity through breeding program. Correlation analysis revealed significant positive genotypic correlation of yield/plant with plant height (0.21), panicles/plant (0.53), panicle length (0.53), effective grains/panicle (0.57) and harvest index (0.86). Path analysis based on genotypic correlation coefficients elucidated high positive direct effect of harvest index (0.8631), panicle length (0.2560) and 100 grain weight (0.1632) on yield/plant with a residual effect of 0.33. Plant height and panicles/plant recorded high positive indirect effect on yield/plant via harvest index whereas effective grains/panicle on yield/plant via harvest index and panicle length. Results of the present study suggested that five component characters, namely harvest index, effective grains/plant, panicle length, panicles/plant and plant height influenced the yield of boro rice. A genotype with higher magnitude of these component characters could be either selected from the existing genotypes or evolved by breeding program for genetic improvement of yield in boro rice.

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Section: Correlationsupporting

confidence: 84%

Quantitative Genetic Analysis for Yield and Yield Components in Boro Rice (Oryza sativa L.)

et al. 2010

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“…Both positive and negative correlations for different agro-morphological traits and the yield have been reported in rice [44,45,46,47,48,49,50]. [63]. Rice grain filling has been identified as a dynamic factor that determines the grain yield [64,65].…”

Section: Resultsmentioning

confidence: 99%

“…Rice accessions were grouped according to spikelet fertility: completely sterile (0%), highly sterile (50% to trace), partially sterile (50-74%), fertile (75-90%), highly fertile (>90%). Age of rice cultivars was determined as moderate maturity (60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70)(71)(72)(73)(74), late-maturity (75-89), and very late maturity (90-105) according to the time took for 80% of the grains on the panicles to be fully ripened.…”

Section: Methodsmentioning

confidence: 99%

Agro-morphological Variation in 71 Traditional Rice Cultivars in Sri Lanka

Ranawake

Hewage

Pradeepika

et al. 2019

IJPSS

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Traditional rice cultivars in Sri Lanka have diverse characteristics that prove the excellent potential for utilizing them for varietal improvement. Seventy-one Sri Lankan traditional rice cultivars obtained from Plant Genetic Resources Center, Gannoruwa, Sri Lanka were used for diversity analysis. Data were collected in the middle-row-plants of each replicate and altogether 80 plants were evaluated in four replicates of each cultivar. Data were collected on 11 parameters in two consecutive Maha seasons in 2012-2014. According to the standard evaluation system of international rice research institute, 67% rice cultivars were tall, and 66% were low tillering. There was no any rice cultivar with high and good reproductive tillers/plant. Around 55% rice cultivars were partially sterile and 43% were fertile. The shortest days to maturity was recorded in Gonabaru (62 days) and the longest days to maturity was recorded in Vellainellu (105 days). The variation of agro-morphological characteristics was broad in studied rice cultivars: The recorded highest yield was 22.74 g/plant while the lowest was 1.55 g/plant. The hundred-grain- Ranawake et al.; IJPSS, 27(4): 1-16, 2019; Article no.IJPSS.25155 2 weight ranged from 3.49-1.27 g and the plant height ranged from 95-192 cm. The recorded highest number of total tillers per plant was 10 and the lowest was 3. Panicle length and panicle weight were ranged from 13-32 cm and 0.36-4.69 g consecutively. The smallest grains were in Herath and the largest grains were in Mudaliwi. The heaviest above ground biomass was achieved by Kallurundoivellai and its harvest index was the least (0.09). The highest filled grain percentage (91.48%) was recorded by Galpa Wee. The correlation analysis revealed that the yield per plant was significantly correlated with panicle weight, the total number of spikelets/panicle and number of fertile spikelets/panicle. There was no correlation between panicle length and the final yield of rice though panicle length was correlated with plant height and panicle weight. Total number of spikelets/panicle, the number of fertile spikelets/panicle, and plant height were significantly correlated with panicle weight. None of the parameters were correlated with hundred grain weight. Total biomass was correlated with plant height, the total number of spikelets, and fertile spikelets per panicle. There was no significant correlation between the biomass of rice with the final yield, however, a number of fertile tillers were correlated with a number of total tillers. Eleven parameters were sorted into four principal components that explained 87.44% of total variance and cluster analysis categorized the rice cultivars into six clusters at rescaled cluster distance 10 in Ward's linkage analysis. Original Research Article

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“…Sawant et al, 1995 ،) ( ‫كیهررویي‬ Kihupi, 1998 ‫و‬ ‫پراكرراش‬ ،) ( ‫پراكرراش‬ Prakash and Prakash, 1995 Greenfield et al, 1998 ،) ‫راسرل‬ ‫و‬ ‫مرارتین‬ Martin and Russell, 1994 ( ‫محردثي‬ ‫و‬ ) Mohaddesi, 2001 …”

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confidence: 99%