Variability, Heritability and Genetic Advance for Cane Yield and its Contributing Traits in Sugarcane Clones under Waterlogged Condition

Agrawal, R. K.; Kumar, Balwant

doi:10.20546/ijcmas.2017.606.195

Cited by 4 publications

(8 citation statements)

References 6 publications

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“…The analysis of variance showed that mean square values were found significant for all traits and seed rate interaction except for diameter and CCS% (Table 1). Similar studies were reported in case of stalk height, cane yield and number of tillers (Alam et al, 2017) while for CCS% the results were found non-significant (Agrawal and Kumar, 2017). Data regarding the effect of seed rate and varieties on plant height (Table 2) depicts that there was significant effect of varieties, seed rate and their interaction on plant height.…”

Section: Resultssupporting

confidence: 79%

Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop

Khaliq¹,

Ahmad²,

Ahmad³

et al. 2020

IJARe

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Background: Under current scenario of High cost of Production of Sugarcane crop, it is need of time to decide specific seed rate for individual varieties. Sugarcane seed contributes to 10-20% of cost of production and farmers invests about Rs. 20000/- per acre on planting material. The costs of seed can be curtailed by optimizing seed rate. Similarly, seed rate varies with different varieties. In this view, a field experiment was carried out to optimize the seed rate of promising sugarcane clones.Methods: A field experiment was carried using randomized complete block design with factorial arrangements having three replications at Sugarcane Research Institute, Faisalabad during 2016-17 and 2017-18. Result: The results revealed that maximum cane diameter was recorded for S2008-AUS-133 at seed rate of 25000 and 50000 triple budded setts/ha. However; maximum number of canes/ha were recorded for S2008-AUS-133 at seed rate of 75000 setts/ha followed by HSF-240 at 75000 setts/ha. Maximum cane yield was noted for HSF-240 at seed rate of 75000 followed by S2008-AUS-133 at seed rate of 50000 and lowest can yield was recorded in S2003-US-127 at seed rate of 25000 triple budded setts/ha. Genotypic and phenotypic variances were higher for plant height (381.63, 133.91 cm) and cane yield (406.50, 330.65 kg/plot).Genotypic and phenotypic coefficient of variances were moderate for number of tillers (11.6%, 15.44%) and higher for cane yield (20.24%, 22.44%). It means that variability in 4 genotypes for cane yield was higher. Thus variety S2008-AUS-133 showed better performance at seed rate 75000 while during selection, number of tillers and height should be considered for further breeding program.

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Section: Resultssupporting

confidence: 79%

Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop

Khaliq¹,

Ahmad²,

Ahmad³

et al. 2020

IJARe

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“…The traits such as sucrose %, TSS % and purity % exhibited low PCV and GCV which indicated that the breeders should increase the variability for these traits to achieve improvement. Similar type of suggestion was given by Agrawal and Kumar (2017) in their experiments.…”

Section: Coefficient Of Variabilitysupporting

confidence: 82%

Influence of Pigeon Manure Tea on some Physiological and Genetical Parameters of Sugar Beet

Salem

Tawfik

Ghonema

2018

Alexandria Science Exchange Journal

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Two field experiments were carried out in 2013/2014 and 2014/2015 seasons at Nubaria Research Station, El-Beheira Governorate, Egypt to study the response of three sugar beet cultivars to the foliar nutrition with pigeon manure tea (PMT) in combination with soil N fertilizer and its effect on yield, yield components, chemical constituents and some physiological and genetical parameters. A split plot arrangement in a Randomized Complete Block Design with three replications was used. Three polygerm sugar beet cultivars namely SN-626, NH-627 and Hercule were randomly distributed in the main plots, while the four combinations of PMT and N fertilizer were randomly distributed in the sub-plots, it was as follows; 80 kg N/fed (recommended level) was given as soil application, without PMT (check treatment) (C1), foliar application of 2.5% PMT + soil addition of 40 kg N/fed (C2), foliar application of 5% PMT + soil addition of 40 kg N/fed (C3) and foliar application of 10% PMT + soil addition of 40 kg N/fed (C4). The results illustrated that fertilizing the tested cultivars with (C4) treatment attained the highest mean of sugar yield compared with (C2) and/or (C3), in the two seasons. The three cultivars showed that the highest and the least values of root, top, sugar yields and sucrose% were produced from SN-626 and Hercule cultivar, respectively, in both seasons. Genotypic and phenotypic variances, heritability and coefficient of variance as percent of means were estimated for the studied traits. Maximum heritability values were obtained for root diameter followed by top yield. Meanwhile, it was moderate for sugar yield, sucrose% and root yield, while the minimum values of heritability were recorded by total soluble solids and purity percentages. Besides, different genetic coefficient of variance as percent of mean, as well as high genetic variability and high range of variations were detected. Path-coefficient analysis revealed that the improvement of different genotypes sugar yield can alter the relative importance of root yield, sucrose% and purity%. Under conditions of the present work, it can be recommended that growing SN-626 variety fertilized with (C4) treatment produced the highest sugar yield/fed with no significant difference from treating the same variety with C1 (recommended level). Also, the data suggest that significant improvement could be achieved by increasing purity as well as sucrose percentages to increase sugar yield.

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“…Yield component and yield data were transformed with square root (SQRT data + 0.5) before the analyses of variance. The estimation of the genetic parameters included: (a) genotypic coefficient of variation (CVg) and phenotypic coefficient of variation (CVp), (b) heritability (h 2 ) that was categorized as low when h 2 was <20%, moderate when h 2 was 20-50% and high when h 2 was >50% (Singh & Chaudhary, 1977), (c) genetic advance (GA) and the percentage of genetic advance based on average (GAM), as used by Agrawal & Kumar (2017) and Badu, Ashok, Kiran Patro, & Sasikala (2017) at k= selection diferential 5%=2.06, that was categoried as low (<10%), moderate (10-20%) and high (>20%), and (d) genotypic correlation coefficient (r g(xy) ) and phenotypic correlation coefficients (r p(xy) ) with t test for the significance of the correlation test (Singh & Chaudhary, 1977…”

Section: Methodsmentioning

confidence: 99%

“…The characters with high CVg and CVp can used as indicators for parental selection, in that reflected variations in response to water stress. Studied in sugarcane, Agrawal & Kumar (2017) observed number of shoot at the plant age of 120 days and plant height at 240 and 360 days of age representing high CVg and CVp. These indicated that the features were important in evaluating sugarcane clones tolerance to waterlogging.…”

Section: Genetic Performance Based On Vegetative Characters Under Water Stressmentioning

confidence: 96%

“…Genetically, the diversity in sweet potato is supported by the high number of genomes and a large number of its chromosomes (2n = 6x = 90), and the fact that sweet potato belongs to cross-pollinating plants due to incompatibility in the sex organs. Genetic diversity can be measured by estimating genotypic variance, phenotypic variance, genotypic diversity coefficient, broad heritability and genetic progress (Agrawal & Kumar, 2017). Based on the estimated value of these genetic parameters, characters can also be determined as selection indicators from the best parents in the population according to the purpose of breeding.…”

Section: Introductionmentioning

confidence: 99%

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Selection Indicators of Yield Components and Yield for Improvement of Local Sweet Potato under Water Stress

et al. 2021

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Genetic diversity is required for crop improvement against environmental stress. Astudy wasconducted to determine characters as selection indicators of water-stress tolerance, and of yield components and yield. The research method involved a one-factor experiment with 21 sweet potato clones, using a Completely Randomized Block design with three replicates. Water stress in this study mean that the bottom of plants was submerged in water at 2 and 3 months of age. Determination of selection indicators was conducted by estimating the coefficients of genetic and phenotypic variations, heritabilities, genetic advance and correlation test result. The characters of number of leaves, individual leaf area, leaf area per plant, leaf area index, stem length, internode length, number of tubers (storage root), individual tuber weight and yieldas selection indicators of water stress tolerance. Selection indicators of yield components consisted of less number of leaves, small leaf size, short stemsand number of branches, whereas selection indicators of yield were small leaf size, number of branches, number of tubers and individual tuber weight. Selection became effective and efficient when the selection indicators were influenced greatly by genetic factors.

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Variability, Heritability and Genetic Advance for Cane Yield and its Contributing Traits in Sugarcane Clones under Waterlogged Condition

Cited by 4 publications

References 6 publications

Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop

Optimizing Seed Rates and Effects of Direct and Indirect Selection Indices in Sugarcane Crop

Influence of Pigeon Manure Tea on some Physiological and Genetical Parameters of Sugar Beet

Selection Indicators of Yield Components and Yield for Improvement of Local Sweet Potato under Water Stress

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