scholarly journals Analysis of Per Se and Genetic Diversity of Maize Synthetic Populations for Grain Quality: Implications for Breeding

2010 ◽  
Vol 67 (1) ◽  
Author(s):  
Voichita HAS ◽  
Alin GULEA ◽  
Ioan HAS ◽  
Ana COPANDEAN
Keyword(s):  
Genetic Diversity ◽  
Combining Ability ◽  
Grain Quality ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Research Station ◽  
Quality Traits ◽  
Maize Germplasm ◽  
Synthetic Populations ◽  
Per Se

The objective of this research was to determine whether phenotypic and genetic diversity could be identified for maize grain quality traits (percentage of starch, protein, oil, fiber and ash) and agronomic traits. 59 maize synthetic populations which differed in earliness and for geographic origins were evaluated in the field at the Agricultural Research Station Turda - Romania, for their per se value. Each synthetic population was tested only one year and was characterized for their ear characteristics and grain quality attributes. The grain oil and ash content showed high variability among genotypes. The experiment was conducted over 2 years (2006-2007) and 2 locations (Turda and Targu-Mures). Analysis of variance showed significant differences among the genotypes for all traits studied. General combining ability (GCA) effects were more important for grain content than specific combining ability (SCA). The occurrence of low interactions between synthetic populations and testers for all characters suggested the occurrence of high statistical additive effects expressed whatever the system of population evaluation. These results support breeding effort towards the genetic improvement of grain quality traits in “Turda” maize germplasm.

scholarly journals Agronomic traits and chemical composition of single hybrids of sweet corn

2011 ◽  
Vol 29 (4) ◽  
pp. 531-536 ◽  
Author(s):  
Angela Kwiatkowski ◽  
Edmar Clemente ◽  
Carlos Alberto Scapim
Keyword(s):  
Chemical Composition ◽  
Crop Yield ◽  
Combining Ability ◽  
Grain Quality ◽  
Sweet Corn ◽  
Agronomic Traits ◽  
Block Design ◽  
Research Station ◽  
Randomized Block Design ◽  
Fixed Model

In Brazil, the greengrocery market of sweet corn has been expanding along the country. In contrast, there have been few agri-industries canning sweet corn (Zea mays) because of the lack of cultivars with agronomic characteristics proper to industrial purposes. The purpose of this study was to evaluate the general combining ability (GCA) of seven inbred lines of sweet corn, and the specific combining ability (SCA) of their hybrid combinations based on their agronomic traits, and the chemical composition of the grain. In the growing season 2006/2007, twenty-one single hybrids were evaluated in the Iguatemi Research Station, Maringá County, Northwestern Paraná, in Brazil using a complete randomized block design with four replications. Data were subjected to the analysis of variance and the genotypes were clustered by the Scott-Knott test. We estimated the GCA and SCA effects using the Griffing's method IV with the fixed model for plant height (PH), height of ear (EH), dehusked ears yield (DEY), reducing (RS) and total sugars (TS), starch (ST), proteins (PTN), ether extract (EE) and fibers (FB). The inbred line L4, which was originated from the 'Doce de Cuba', had the best GCA for crop yield and grain quality and therefore should be used in the next hybrid combinations. The hybrids L4xL5 and L3xL7 were the most promising with regard to crop yield and grain quality.

scholarly journals Gene action and combining ability studies for protein content and grain quality traits in rice (Oryza sativa L.)

2019 ◽  
Vol 10 (1) ◽  
pp. 58
Author(s):  
M. Asvin Kirubha ◽  
R. P. Gnanamalar ◽  
K. Thangaraj ◽  
A. Kavitha Pushpam ◽  
A. R. Priyanka
Keyword(s):  
Oryza Sativa ◽  
Protein Content ◽  
Combining Ability ◽  
Grain Quality ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Quality Traits

↵Genetic Diversity and Principal Component Analysis in Mungbean [Vigna radiata (L.) Wilczek] under Rainfed Condition

2021 ◽  
Author(s):  
Deepak Gupta ◽  
Suresh Muralia ◽  
N.K. Gupta ◽  
Sunita Gupta ◽  
M.L. Jakhar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Seed Yield ◽  
Agricultural Research ◽  
Principal Component ◽  
Component Analysis ◽  
Grain Legume ◽  
Research Station ◽  
Rainfed Condition

Background: Mungbean is a short duration grain legume widely grown in south and Southeast Asia. The extent of variability through Principal Component Analysis (PCA) and cluster analysis in promising mungbean genotypes should be known for possible yield improvement. A study was undertaken to work out the extent of variability among twenty four mungbean genotypes through cluster analysis and Principal Component Analysis (PCA). Methods: The experiment was laid out in a randomized block design with three replications during kharif 2018 and 2019 at the experimental field of Agricultural Research Station, Navgaon (Alwar) under rainfed condition. Result: Principal component analysis revealed that the first three main PCAs amounted 78.80% of the total variation among genotypes for different traits. Out of total principal components, PC1 accounts for maximum variability in the data with respect to succeeding components. Number of branches per plant (28.62%), number of clusters per plant (23.55%) and seed yield (15.58%) showed maximum per cent contribution towards total genetic divergence on pooled basis. Cluster analysis showed that genotypes fall into seven different clusters and their inter and intra cluster distance showed genetic diversity between different genotypes. The maximum number of genotypes i.e., 8 was found in cluster II followed by cluster III comprising of 6 genotypes. Genotypes RMG-1138 and IPM-02-03 representing the mono genotypic cluster signifies that it can be the most diverse variety and it would be the appropriate genotype for hybridization with ones present in other clusters to tailor the agriculturally important traits and ultimately to boost the seed yield in mungbean under rainfed conditions.

scholarly journals Genetic Divergence in Pointed Gourd

1970 ◽  
pp. 87-92 ◽  
Author(s):  
MY Kabir ◽  
ASMMR Khan ◽  
MS Hassain
Keyword(s):  
Genetic Diversity ◽  
Genetic Divergence ◽  
Agricultural Research ◽  
Growing Season ◽  
Mean Value ◽  
Research Station ◽  
Cluster Distance ◽  
Late Maturity ◽  
Pointed Gourd ◽  
Clustering Pattern

The experiment was conducted at the Regional Agricultural Research Station, Ishurdi, Pabna during the growing season 2005-2006 to estimate the genetic diversity among 24 genotypes of pointed gourd by using Mahalanobis D² statistics for nine characters. The genotypes were grouped in to five clusters. The cluster I and III consisted of highest number of genotypes and it was six. The cluster IV contained the lowest number of genotypes and it was three. The clustering pattern of the genotypes under this study revealed that the genotypes collected from the same location were grouped into different clusters. The genotypes of Kushtia were distributed in different clusters. The inter cluster distance were larger than the intra cluster distance suggesting wider genetic diversity among the genotypes of different groups. The highest intra cluster distance was computed for cluster IV (35.80) and the minimum intra cluster distance was found in cluster III (18.37). The clusters IV and II were more diverse as indicated by maximum inter cluster distances between them (41.56) and the minimum inter cluster divergence was observed between cluster III and II (6.84). Cluster II had the highest cluster mean value for number of fruits per plant (391), weight of fruit per plant (11.72kg) and yield (35.28t/ha). Genotypes of the cluster V had late maturity. Key words: Genotype; genetic diversity; pointed gourd. DOI: 10.3329/jard.v7i1.4426 J Agric Rural Dev 7(1&2), 87-92, June 2009

scholarly journals Heterosis, Combining Ability, Genetic Diversity and their Interrelationship in Pigeonpea [Cajanus cajan (L.) Millspaugh]

2021 ◽  
Author(s):  
D. Chandra ◽  
S.K. Verma ◽  
A.K. Gaur ◽  
C. Bisht ◽  
A. Gautam ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Combining Ability ◽  
High Frequency ◽  
Block Design ◽  
General Combining Ability ◽  
F1 Hybrids ◽  
Randomized Block Design ◽  
Degree Of Dominance ◽  
Correlation Result ◽  
Per Se

Background: The development of superior hybrids is must to break the existing yield plateau ( less than 800 kg/ha) in pigeonpea and hence, the genetic mechanism governing the heterosis in pigeonpea must be decoded. Methods: The present study was laid down using randomized block design during kharif 2018-19 at GBPUAT, Pantnagar with 36 genotypes (8 parents and 28 F1 hybrids) of pigeonpea. The estimates of combining ability were evaluated by using the Griffing’s, Method II, Model I. The observations recorded for yield and related traits were subjected to the estimation of genetic diversity (GD) using the D2 statistics. The correlation between heterosis and different parameters viz., parental mean (PM), specific combining ability (SCA), mean of general combining ability (MGCA) and genetic diversity (GD) were estimated by using Pearson’s correlation. Result: High estimates of SCA variance and more than unity ( greater than 1) average degree of dominance for all the characters indicated the presence of over dominance. The SCA followed by MGCA were found to be most reliable parameters to predict the heterosis. The parents having high x low or high x high per se performance, good x poor GCA effects and with medium genetic diversity resulted in high frequency of heterotic hybrids.

scholarly journals Exploration of Possibilities to Identify Heterotic Cross Combinations in Aromatic Rice (Oryza sativa L.) for Grain Yield and Quality Parameters

2020 ◽  
pp. 92-98
Author(s):  
Mithilesh Kumar Singh ◽  
Banshidhar . ◽  
Avinash Kumar ◽  
Aman Tigga ◽  
S. K. Singh
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Grain Quality ◽  
Gene Action ◽  
Amylose Content ◽  
Aromatic Rice ◽  
Quality Traits ◽  
Kernel Length ◽  
Breadth Ratio ◽  
Alkali Digestion

Twenty eight crosses generated using eight aromatic rice varieties crossed in half diallel fashion were evaluated and analyzed along with parents to investigate combining ability and gene action for grain yield and various grain quality traits. The general combining ability and specific combining ability variances were significant for all the traits that indicated the role of both additive and non-additive genetic components.  Ratio of σ2gca/σ2sca< 1 indicated preponderance of non-additive gene action in the expression of these traits.  Pusa Basmati-1 was the good general combiner showing significantly high GCA effect for a maximum of seven-grain quality traits viz., milling recovery (0.81), kernel length (0.28), kernel breadth (-0.05), kernel length/breadth ratio (0.26), cooked kernel length (0.79), alkali digestion value (0.67) and amylose content (0.60) but not for yield.  Cross PSD-15×Pant Basmati-1 (P7×P8) was the good specific combiner showing high SCA effects for a maximum of eight grain quality traits viz. hulling recovery (2.76), milling recovery (2.06), kernel length (0.89), kernel length/breadth ratio (0.69), cooked kernel length (3.06), kernel elongation ratio (0.12), alkali digestion value (1.11) and amylose content (1.01) but not yield.  None of the top three crosses (Pusa Sugandh-6×PSD-15, Pusa Basmati-1×PSD-15 and Pusa Sugandh-4×Basmati-370) based on high SCA effect for grain yield plant-1exhibited as high SCA effect to fall within top three crosses on that basis for any of the grain quality traits.

scholarly journals Combining ability analysis and gene action of grain quality traits in rice (Oryza sativa L.) using line × tester analysis

2017 ◽  
Vol 9 (2) ◽  
pp. 1236-1255
Author(s):  
S. Santha ◽  
R. Vaithilingam ◽  
A. Karthikeyan ◽  
T. Jayaraj
Keyword(s):  
Combining Ability ◽  
Volume Expansion ◽  
Grain Quality ◽  
Gene Action ◽  
Amylose Content ◽  
Expansion Ratio ◽  
Quality Traits ◽  
Gelatinization Temperature ◽  
Probability Level ◽  
Kernel Length

In rice, twelve lines were crossed with five testers in a line × tester mating design and the resultant 60 hybrids along with their parents were evaluated for their combining ability effects for 15 grain quality traits. The results revealed that the ratio of GCA: SCA variances computed for all the fifteen grain quality traits showed the predominance of non-additive gene action. Among the lines, ADT (R) 47 showed significant desirable gca effects at 1% probability level (p = 0.01) for 11 grain quality traits viz., hulling percentage, milling percentage, head rice recovery percentage, kernel breadth, kernel breadth after cooking, breadth wise expansion ratio, gelatinization temperature, amylose content, gel consistency, water uptake and volume expansion ratio. Among the testers, Pusa 1460 showed significant desirable gca effects at 1% probability level (p = 0.01) for 10 grain quality traits viz., kernel length, kernel breadth, kernel length/breadth ratio, kernel length after cooking, kernel breadth after cooking, linear elongation ratio, gelatinization temperature, amylose content, water uptake and volume expansion ratio and hence they were adjudged as the best combiners for the improvement of the respective traits. Among the hybrids, the hybrids CO 47/Imp., Samba Mahsuri, ADT (R) 47/IRBB 21 and ADT (R) 46/IRBB 21 were identified as best hybrids for exploitation of grain quality traits since they revealed significant sca effects at 1% probability level (p = 0.01) for eight, eight and five grain quality traits, respectively.

scholarly journals Evaluation of Inbred Line Through Line X Tester Method

2015 ◽  
Vol 7 (2) ◽  
pp. 79-84
Author(s):  
N Jahan ◽  
MS Uddin ◽  
MR Islam ◽  
S Hasna ◽  
ARM Saifullah
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Agricultural Research ◽  
Inbred Lines ◽  
Research Station ◽  
Genotypic Differences ◽  
Early Generation ◽  
Mean Values ◽  
Wide Range

Early generation evaluation of inbred lines through line × tester method was conducted at Regional Agricultural Research Station, Rahmatpur during rabi 2013-14 in maize involving 12 S4 lines and 2 testers (BIL 28 and BIL 29) for grain yield, yield components and other characters to estimate the general combining ability of the lines and specific combining ability effects of the crosses. Highly significant genotypic differences were observed indicated wide range of variability present among them. The crosses with high SCA effect for grain yield evolved from high × low general combiner parents were revealed additive x dominance type of gene action. The cross combinations E-7 X BIL-29, E-11 X BIL-29, E-10 X BIL-28 and E-9 X BIL-28 with high positive SCA effect having high mean values might be used for obtaining high yielding hybrids. The information on the nature of gene action with respective variety and characters might be used depending on the breeding objectives.DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22211 J. Environ. Sci. & Natural Resources, 7(2): 79-84 2014

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