Genetic Divergence in Sugarcane under Water-Logging Condition and Identification of Tolerant Clones

Agrawal, R. K.; Kumar, Balwant

doi:10.20546/ijcmas.2017.607.419

Cited by 4 publications

(5 citation statements)

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“…The analysis of variance as per overview given in Table 1 clearly indicated that highly significant differences were found among the clones for all the characters under studied. Similar results were also reported by earlier workers Ebid, et al, (2015), Hiremath and Nagaraja (2016), Tena et al, (2016), Agrawal and Kumar (2017) and , it means there wwer sufficient variability existed in the early maturing sugarcane for cane and sugar yield. Therefore wide range for such traits viz., cane and sugar yield favor towards selection of high cane yield as well as high sugar containing clones.…”

Section: Resultssupporting

confidence: 91%

Study of Genetic Variability for Cane Yield and its Component Traits in Early Maturing Sugarcane

Ranjan¹,

Kumar²

2017

Int.J.Curr.Microbiol.App.Sci

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Section: Resultssupporting

confidence: 91%

Study of Genetic Variability for Cane Yield and its Component Traits in Early Maturing Sugarcane

Ranjan¹,

Kumar²

2017

Int.J.Curr.Microbiol.App.Sci

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“…(1985),Silva et al (2011),Singh and Khan (1990),Singh and Singh. (2002),Singh et al (1987),Singh et al (2001),,Agrawal and Kumar (2017) observed few to several clusters as per As perusal of Table…”

mentioning

confidence: 88%

“…Cane and sugar yield are influenced by many factors, including changing climatic scenario, waterlogged, soil composition and structure, irrigation and drainage requirements, varieties, pests and diseases, management skill, labour availability and harvesting methods among them water logged area is major constrain because most of the varieties are not performing well under such condition. India has produced 376 million tonnes of sugarcane at a productivity level of 79.65 t/ha from 4.73 m ha area in 2017-18 (Indian Sugar-2018 while productivity of this crop in Bihar was low (50t/ha). Both plant and Ratoon crops of sugarcane contributes in average productivity.…”

Section: Introductionmentioning

confidence: 99%

Diversity Studies in Plant and Ratoon Crops for Selection of Profitable Sugarcane Genotypes Tolerant to Water Logging.

Kumar¹,

Kamat²,

Singh³

2019

Int.J.Curr.Microbiol.App.Sci

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Studies on genetic divergence in sugarcane plant and ratoon crops involving sixteen genotypes planted at RAU Pusa Farm, Samastipur, Bihar during 2012-13 and their consecutive ratoon during 2013-14 under low land area with water-stagnation 2 to 3 months to select profitable genotypes tolerant to water logging. Cane yield of plant crop was higher than the ratoon while for juice quality traits of ratoon crop showed better. All genotypes differed significantly with regard to the traits studied and displayed distinct marked divergence, grouped into five clusters for both crops following Tocher's method. only Cluster I and II had more than one genotypes while Cluster III, IV and V were monogenotypic. In plant crop maximum inter cluster distance was observed between cluster IV and V (5763.19) followed by cluster III & V(4350.43), Cluster I & V (2297.2) and between Cluster II & IV(1835.66) while in ratoon crop between cluster II and V (1050.77), cluster III & V (817.02), Cluster III & IV(623.84), Cluster II & IV (567.85), Cluster I & V (419.80) and between Cluster I & II(319.39).In plant crop highest contribution in the manifestation of genetic divergence was exhibited by cane yield (52.50) followed by CCS per cent at harvest (20.83), pol % in juice at 11 month stage (9.17) while in ratoon crop pol % in juice 9 month stage (45.0) had highest followed by brix 11 month(15.0),CCS per cent at harvest (10.83), purity % at 11 month (8.33), single cane weight (7.50). Profitable offspring will be obtained after crossing between the genotypes of Cluster I and II with Cluster V. Maximum average cane yield (91.83 t/ha) and CCS t/ha (10.60 t/ha) were recorded in CoP 09437 followed by BO 154, CoP 2061, BO 155 and CoX 07067. Minimum average yield gap between plant and ratoon crop was observed in CoP 09437(losses 8.93%) and its ratoon contributed highest 47.7 % towards average cane yield, 26.7 and 17.4% higher cane yield 45.80 and 41.15% higher CCS t/ha than BO91 & BO147, respectively followed by BO 154 and CoP 2061. Selection on the basis of percentage increase over checks and minimum loss in cane yield and CCS t/ha CoP 09437, BO 154 and CoP 2061 were found profitable one to cultivate under low land (water logging) sugarcane growing areas which will enhance productivity and sugar recovery.

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“…These techniques have been employed in assessment of genetic diversity among several other crops such as wheat, maize and chilli (Yatung et al, 2014). In recent past, several studies have reported on the sugarcane genetic diversity assessment using the CA and PCA analyses (Agrawal & Kumar, 2017). Therefore, this study was conducted to assess the extent of genetic diversity, cluster the genotypes into relatively homogenous groups and to identify the major characters contributing to the overall diversity of sugarcane genotypes at Finchaa Sugar Estate in Ethiopia.…”

Section: Introductionmentioning

confidence: 99%

Morphological diversity and principal component analysis of sugarcane (Saccharum officinarum L.) genotypes at Finchaa Sugar Estate

Alemu¹,

Fetene²,

Tadesse³

2022

Ratar i povrt

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This study was conducted to assess the extent of morphological variation, cluster the genotypes into relatively homogenous groups and to identify the major characters contributing to the overall diversity of 22 exotic sugarcane genotypes at Finchaa Sugar Estate. The experimental design used was RCBD laid in three replications. Quantitative traits such as number of internodes, millable stalk, plant height, stalk girth, single cane weight, cane yield, brix percent juice, pol percent, sugar recovery percentage and sugar yield were investigated. ANOVA indicated the existence of high phenotypic and genetic diversity between genotypes for all quantitative traits studied which could be utilized for further sugarcane improvement. The principal component analysis for the genotypes exhibited variance of 43.12%, 18.8% and 13.71% for the first three categories and accounts about 75.63% of the total variation and the juice quality traits showed greater loading for the variation in the first principal component category. Cluster analysis grouped genotypes in to five distinct classes with maximum number of genotypes (7) in cluster II and minimum (1) in cluster V. In the first cluster six sugarcane genotypes were included this accounted 27.27% of the investigated materials which had been categorized by high cane length and single stalk weight. The second cluster which accounts 31.82% of the materials were characterized by lower cane length and single stalk weight. Recoverable sugar percent had almost zero correlation with cane length, millable stalk count and sugar yield (r= 0.02, 0.02 and-0.01 respectively) indicating the possibility of simultaneous improvement of these traits.

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Genetic Divergence in Sugarcane under Water-Logging Condition and Identification of Tolerant Clones

Cited by 4 publications

References 1 publication

Study of Genetic Variability for Cane Yield and its Component Traits in Early Maturing Sugarcane

Study of Genetic Variability for Cane Yield and its Component Traits in Early Maturing Sugarcane

Diversity Studies in Plant and Ratoon Crops for Selection of Profitable Sugarcane Genotypes Tolerant to Water Logging.

Morphological diversity and principal component analysis of sugarcane (Saccharum officinarum L.) genotypes at Finchaa Sugar Estate

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