Genetic analysis of grain yield and quality parameters in a set of breeding lines derived from BLB resistance donor and selected mutants of rice (Oryza sativa L.) / (Record no. 5363)

MARC details
000 -LEADER
fixed length control field 03804nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230325130953.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220502b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency CPGS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Manoj M.
9 (RLIN) 9243
245 ## - TITLE STATEMENT
Title Genetic analysis of grain yield and quality parameters in a set of breeding lines derived from BLB resistance donor and selected mutants of rice (Oryza sativa L.) /
Statement of responsibility, etc Manoj M.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Umiam ;
Name of publisher, distributor, etc CPGS-AS, CAU,
Date of publication, distribution, etc November 2021.
300 ## - PHYSICAL DESCRIPTION
Extent x, 87p.:
Other physical details ill., some col.;
Dimensions 30 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title [Genetics and Plant Breeding, School of Crop Improvement]
9 (RLIN) 9099
520 ## - SUMMARY, ETC.
Summary, etc Rice (Oryza sativa L.) is one of the major crop and considered as a staple food source for nearly half of the population in world. The variability assessment of yield and quality traits was important to understand before adopting any breeding strategy for the genetic improvement of crop plants. Quality of rice always rely upon consumer’s affinity and economic use of grain. The physico-chemical properties includes grain length, breadth, hulling percentage to evaluate the physical quality of rice whereas the cooking qualities of rice are amylose content (AC), water uptake ratio (WUR) and Gelatinization temperature. The present study was carried out with 30 genotype including derived lines from BLB donor and selected mutants to characterize the grain yield and the quality characters. A total of 12 yield traits and 13 quality traits were studied. Maximum variations observed for most important characters namely plant height (89.06 cm to 141.59 cm), days to 80 % maturity (115.66 to 129.33), total number of grains per panicle (84.53 to 121.70), grain yield per plant (6.80 to 22.53 g) and grain yield per hectare (1266.66 to 6511.10 kg ha-1). In terms of quality characters, the genotypes NEH-2, NEH-4, NEH-5, M-1 and M-9 observed higher mean values showing better performance for physical characteristics. Maximum amylose content was recorded for NEH-4 (28.25%) followed by NEH-2 (24.23%) and the minimum amylose content was recorded in M-1 (10.60%). Maximum protein content in the study was recorded in genotypes M-3 (12.47%) followed by NEH-7 (11.84%). However, protein content of genotypes NEH-11 (11.10%), NEH-6 (10.96%) and M-1 (10.96%) was statistically at par with that of M-3. The total carbohydrate content ranged from 34.32% to 81.10% and the maximum carbohydrate content was recorded for NEH-2 (81.10%) followed by M-6 (74.99%). GCV and PCV observed maximum for alkali spreading value and yield per hectare. The heritability was observed high for gel consistency (99.92%) followed by total carbohydrate content (99.84%) suggesting less environmental influence for the trait and selection for above traits would be efficient. The path analysis shown that highest direct effects for yield was exhibited by total grains per panicle (1.26351), yield per plant (0.99813) and number of tillers per plant (0.01250). The genetic diversity analysis grouped 30 genotypes into six cluster for yield characters and six cluster for quality traits respectively. The inter cluster distances was observed highest between cluster III and IV (1523.79) for yield characteristics and between cluster V and VI (31500.13) for quality traits. Hence, crosses can be made between these groups and genotypes to acquire desirable recombinants in next generations. The overall results of the study showed the maximum amount of variability in genotypes and this can be effectively utilized in breeding programmes to develop improved cultivars of rice for yield and quality traits. <br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Rice
General subdivision Genetics.
9 (RLIN) 9244
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Rice
General subdivision Plant breeding.
9 (RLIN) 9245
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name K. Noren Singh
Relator term Major Advisor.
9 (RLIN) 1256
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://krishikosh.egranth.ac.in/handle/1/5810195774">https://krishikosh.egranth.ac.in/handle/1/5810195774</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type MSc Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan School of Crop Improvement CPGS CPGS 01/03/2022   633.1852 MAN GPB/2021 TH427 02/05/2022 02/05/2022 MSc Thesis
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