scholarly journals Analisis Nilai Tengah Generasi untuk Umur Panen Keturunan Persilangan Tiga Varietas Kedelai

2015 ◽  
Vol 34 (1) ◽  
pp. 37
Author(s):  
Gatut Wahyu A.S. ◽  
W. Mangoendidjojo ◽  
P. Yudono ◽  
A. Kasno
Keyword(s):  
Genetic Parameters ◽  
Gene Action ◽  
Second Step ◽  
Additive Gene Action ◽  
Early Maturity ◽  
Days To Maturity ◽  
Recessive Genes ◽  
Additive Gene ◽  
Late Maturity

<p>Genetic parameters of a character, which is estimated using genetic analysis approach, is important in a character improvement. The aim of this research was to examine the gene action of days to maturity character on soybean using generation mean analysis. The research consisted two steps, first was preparing four populations (F1, BC1.1, BC1.2 and F2) of three single crosses, i.e. Nanti × Grobogan, Grobogan × Malabar, and Nanti × Malabar. The second step was testing those populations consisting of P1, P2, F1, F2, BC1.1 and BC1.2 in the field at Jambegede Experimental Station, Malang, East Java, from July to September 2009. The results showed that there were interaction between the gene loci on the inheritance of days to maturity, from the three cross combinations under study. The role of additive gene action and the influence of dominant inheritance contributed jointly, affecting days to maturity of early maturity (Grobogan) and early maturity (Malabar) cross. The crossing of very late maturity (Nanti) with early maturity (Grobogan or Malabar) showed that early maturity was probably controlled by additive recessive genes.</p>

scholarly journals Assessment of Genetic Variability for Agro-Morphological Important Traits in Aman Rice (Oryza Sativa L.)

2015 ◽  
Vol 3 (1) ◽  
pp. 73-79
Author(s):  
Golam Sarwar ◽  
Md. Sarowar Hossain ◽  
Md.Harun -Ur- Rashid ◽  
Shahanaz Parveen
Keyword(s):  
Oryza Sativa ◽  
Genetic Parameters ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Genetic Advance ◽  
Panicle Length ◽  
Additive Gene Action ◽  
Days To Maturity ◽  
Additive Gene ◽  
High Heritability

The present study was conducted in the experimental farm, Sher-e-Bangla Agricultural University (SAU), Dhaka during July 2013-December2013. The analysis of variance revealed significant deviation for all the characters studied and indicated the existence of variation among thegenotypes. The PCV values were slightly higher than the respective GCV values for all the characters except unfilled grains per panicleindicating that the characters were less influenced by the environment. Total tillers per plant, effective tillers per plant, filled grains per panicle,unfilled grains per panicle and yield per plant showed high heritability coupled with high genetic advance percentage of mean which indicatedthe preponderance of additive gene action and such characters could be improved through selection. High heritability along with low geneticadvance as percentage of mean was found for plant height, days to 50% flowering, panicle length, days to maturity and thousand grains weightwhich indicated the non additive gene action for expression of these characters. Considering the genetic parameters and other agronomicperformances, the genotypes Special from AL-29, AL-36, PP-4B(i), AL-17(iii)B, AL-17(iii), AL-17(ii)A, Special from-129, Special from17(iv), AL-44(i), AL-17, Special from AL-36(D), PP-48, IR-25B, Special from AL-33, IR-25B (Tall), P-5B (ii) might be considered betterparents for future hybridization programme.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.11896    Int J Appl Sci Biotechnol, Vol. 3(1): 73-79 

BIOMETRICAL ANALYSIS WITH TWO OR THREE GENE LOCI

1972 ◽  
Vol 14 (1) ◽  
pp. 31-38 ◽  
Author(s):  
S. Jana
Keyword(s):  
Complex Traits ◽  
Genetic Parameters ◽  
Gene Action ◽  
Genetic Effect ◽  
Additive Genetic Effect ◽  
Biometrical Analysis ◽  
Additive Gene Action ◽  
Additive Gene ◽  
Linear Combination Model

A linear combination model proposed by Seyffert (1966) has been applied for estimating the first-degree genetic parameters specifying additive, dominance and epistatic effects of two and three gene loci affecting quantitatively inherited characters. Using the data from some recently published reports, it has been found that a large part of epistatic gene action remains undetected by the standard biometrical techniques like factorial and diallel methods of analysis. These methods usually tend to overestimate the role of additive gene action in the inheritance of metrical characters. It is suggested that characters with less complex biological causes of variation tend to show more additive genetic effect than relatively more complex traits.

scholarly journals The Effects of Combining Ability for Yield Traits in Rice (Oryza sativa L.) under Sodic Soil

2020 ◽  
pp. 34-44
Author(s):  
Durgesh Kumar Shukla ◽  
S. N. Singh ◽  
S. C. Gaur ◽  
Anil Kumar
Keyword(s):  
Combining Ability ◽  
Gene Action ◽  
Oryza Sativa L ◽  
Hybrid Vigour ◽  
Yield Traits ◽  
Additive Gene Action ◽  
Early Maturity ◽  
Additive Gene ◽  
Rice Genotypes ◽  
Positive Effect

Information on combining ability is derived from data on twelve yield and yield contributing characters in fifteen male and three female parents utilised in line x tester fashion to estimate combining ability of rice genotypes under coastal saline condition. Forty Five hybrids generated from crossing three lines with fifteen testers were studied along with their parents for combining ability and gene action involved in the expression of characters in rice. The gca and sca effects were significant for all the characters. The magnitude of sca variance was higher than the gca variance for all the characters revealed the presence of predominance of non-additive gene action for all the characters under study. Halchal (-12.29) was found to be good general combiners for days to 50% flowering and early maturity, Halchal (-13.39). However, IR-24 (1.88) was good general combiners with significant positive effect for tallness. Magic (-12.05) good general combiners for dwarfness and Shriram 434 (1.57) was good general combiners for test weight however, Moti was best general combiner with gca estimates of 7.07 for harvest index and Kuber (3.48) was the good general combiners for yield/hill. Cross combinations RHR 27 x IR 24 (4.04) was significant and positive effect for yield/hill, performance for ear bearing tillers per plant were RHR 27 x IR 24 (1.88). In general, the crosses showing significant and desirable combining ability effects were associated with better per se performance for the respective traits. These hybrids could be utilized in heterosis breeding to exploit hybrid vigour.

Genetic components analysis in Indian mustard (Brassica juncea L. Czern. and Coss.)

2019 ◽  
Vol 4 (02) ◽  
pp. 175-181
Author(s):  
Amit Tomar ◽  
Ram Avtar ◽  
Mahak Singh
Keyword(s):  
Gene Action ◽  
Indian Mustard ◽  
Additive Gene Action ◽  
Genetic Components ◽  
Degree Of Dominance ◽  
Additive Component ◽  
Additive Gene ◽  
Components Analysis ◽  
Almost All

Genetic components analysis exhibited that both additive and dominance components were highly significant for almost all the traits indicating the role of both additive as well as non-additive gene action in controlling the expression of concerned traits. In general dominance component values were higher than that of additive component for all the traits. The estimates of average degree of dominance indicated presence of over-dominance for all the traits.

Analysis of lifetime performance in Karan Fries Cattle

2017 ◽  
Author(s):  
Shakti Kant Dash ◽  
A. K. Gupta ◽  
Manoj M. ◽  
Virender Kumar ◽  
Pushp Raj Shivhre ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Genetic Factors ◽  
Gene Action ◽  
Production Traits ◽  
Additive Gene Action ◽  
Reproduction Traits ◽  
Additive Gene ◽  
Heritability Estimates ◽  
Fertility Traits ◽  
Karan Fries

Present investigation includes the study of the effect of genetic and non-genetic factors and estimation of genetic parameters with respect to lifetime production and reproduction traits of Karan Fries cattle. Data consisted of a total of 5878 lactation records on 1988 cows over a period of 32years (1981 to 2012), maintained at ICAR-NDRI, Karnal. Overall least-squares means for LT2 (kg), LT3 (kg), LT4 (kg), LT5 (kg), ALTMY (kg), PL (days), HL (days), MY/PL (kg/day), MY/HL (kg/day), BE (%), LTDPR were found to be 7907.57±121.21, 12714.68±226.90, 17720.46±338.52, 22282.97±529.00, 15946.45±256.85, 1510.36±21.46, 2571.25±27.31, 9.87±0.11, 5.70±0.07, 89.30±0.84, 0.37±1.22, respectively. Both production and fertility lifetime traits were significantly affected by different factors viz. season of birth, period of birth, genetic group and normal lactations completed. LSANOVA heritability estimates of LT2, LT3, LT4, ALTMY, MY/PL, MY/HL, BE, LTDPR, PL and HL were 0.29±0.09, 0.30±0.12, 0.29±0.17, 0.17±0.08, 0.21±0.08, 0.27±0.09, 0.20±0.08, 0.09±0.10, 0.10±0.08 and 0.03±0.06, respectively. Heritability estimates indicated that lifetime fertility traits were less affected by additive gene action. Genetic correlation estimates indicated unfavourable positive correlation between lifetime fertility and production traits.

scholarly journals Combining ability and gene action for seed yield and its component traits in green gram (Vigna radiata L.)

2021 ◽  
pp. 116-122
Author(s):  
PUSHPENDRA SINGH
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Green Gram ◽  
Additive Gene Action ◽  
Degree Of Dominance ◽  
Component Traits ◽  
Sources Of Variation ◽  
Additive Gene

An investigation to study of combining ability and gene action was conducted on green gram for seed yield per plant and its component traits. For this study, line x tester design of mating was used taking six genotypes as lines and four genotypes as testers. The variance analysis revealed significant differences for different sources of variation for most of the traits. The higher specific combining ability (SCA) values were compared to general combining ability (GCA) values. The higher degree of dominance indicated preponderance of non additive gene action. The dominance variance was predominant for all the characters except for pods per plant indicating the major role of non-additive gene action and it was highest for harvest index (HI) followed by plant height and days to 50% flowering. The parents, viz., BM 4 and JM 721 among line and AKM 8802 among testers exhibited positive significant effects and higher per se performance for seed yield per plant and other component traits and hence considered as superior parents. The hybrids viz., BM4 x PDM1, JM 10 x AKM 8802, JM 721 x PDM1, ML131 x HUM 1 and TARM 2 x TJM 3 were observed as superior specific combiners for seed yield per plant and its component traits. These hybrids or cross combinations might be utilized for further improvement of seed yield in green gram.

Combining ability studies under salinity stress and unstressed condition in chickpea

2016 ◽  
Author(s):  
M. Y. Dudhe ◽  
J. Kumar
Keyword(s):  
Salinity Stress ◽  
Seed Yield ◽  
Harvest Index ◽  
Genetic Basis ◽  
Stress Condition ◽  
Gene Action ◽  
Additive Gene Action ◽  
Days To Maturity ◽  
Additive Gene ◽  
Salinity Stress Tolerance

The present study was carried out to generate some information on the genetic basis for salinity tolerance in chickpea. Results indicated that the additive as well as non-additive gene action was important for all the traits under unstressed as well as salinity stress condition. Parent Pusa 1103 was a good combiner for RWC, MSI, seed yield and harvest index both under unstressed and salinity stress condition. DG 72 was a good combiner for RWC and parent SAKI 9516 for days to maturity both under unstressed and salinity stress. Two crosses Pusa 1103 x DG 72 and cross Pusa 1103 x DG 54 were best among all the crosses studied for seed yield per plant. While selecting best crosses for salinity stress tolerance besides giving more importance to salinity indices the seed yield per plant need to be considered. The present findings will help the chickpea breeder in deciding the breeding program aimed at improvement of salinity stress tolerant varieties in chickpea.

Inheritance of earliness, height, and leaf number in crosses of early maturing rapeseed

1986 ◽  
Vol 28 (6) ◽  
pp. 1009-1015 ◽  
Author(s):  
E. A. Ringdahl ◽  
P. B. E. McVetty ◽  
J. L. Sernyk
Keyword(s):  
Brassica Napus ◽  
Gene Action ◽  
Broad Sense ◽  
Leaf Number ◽  
Narrow Sense ◽  
Additive Gene Action ◽  
Narrow Sense Heritability ◽  
Randomized Design ◽  
Days To Maturity ◽  
Additive Gene

A dwarf early Brassica napus line (D-001), derived from crosses with Diplotaxis muralis, was crossed to two B. napus cultivars, 'Regent' and 'Pivot' to study the inheritance of earliness (days to bud, days to first flower, and days to maturity), height, and leaf number. Spaced plants of P1, P2, F1, F2, BC1, and BC2 generations for both crosses were grown in a completely randomized design at two locations in Manitoba in 1984. Results of means analyses indicated that additive gene action predominated for all traits for both crosses and both locations. In addition, dominance gene action was found to influence days to first flower, days to maturity, and leaf number for the D-001 × 'Regent' cross and all traits for the D-001 × 'Pivot' cross. Nonallelic interactions were nonsignificant in all cases. Genotype × environment interactions were not significant for all traits except height. Variance analyses indicated a predominance of additive gene action. Broad sense heritabilities for phenological traits ranged from 55 to 90%, while narrow sense heritabilities ranged from 0 to 81%. For height, broad and narrow sense heritability estimates were equal and ranged from 51 to 84%. Heritability for leaf number ranged from 73 to 82% for broad sense and from 49 to 77% for narrow sense estimates. The predominance of additive gene action and the high heritabilities associated with these traits suggest that D-001 may be useful as a source of earliness in B. napus breeding programs. Key words: Brassica napus, earliness, inheritance, Diplotaxis muralis.

Analysis of lifetime performance in Karan Fries Cattle

2017 ◽  
Author(s):  
Shakti Kant Dash ◽  
A.K. Gupta ◽  
Manoj .M ◽  
Virender Kumar ◽  
Pushp Raj Shivhre and Jamuna Valsalan
Keyword(s):  
Genetic Parameters ◽  
Genetic Factors ◽  
Gene Action ◽  
Production Traits ◽  
Additive Gene Action ◽  
Reproduction Traits ◽  
Additive Gene ◽  
Heritability Estimates ◽  
Fertility Traits ◽  
Karan Fries

Present investigation includes the study of the effect of genetic and non-genetic factors and estimation of genetic parameters with respect to lifetime production and reproduction traits of Karan Fries cattle. Data consisted of a total of 5878 lactation records on 1988 cows over a period of 32years (1981 to 2012), maintained at ICAR-NDRI, Karnal. Overall least-squares means for LT2 (kg), LT3 (kg), LT4 (kg), LT5 (kg), ALTMY (kg), PL (days), HL (days), MY/PL (kg/day), MY/HL (kg/day), BE (%), LTDPR were found to be 7907.57±121.21, 12714.68±226.90, 17720.46±338.52, 22282.97±529.00, 15946.45±256.85, 1510.36±21.46, 2571.25±27.31, 9.87±0.11, 5.70±0.07, 89.30±0.84, 0.37±1.22, respectively. Both production and fertility lifetime traits were significantly affected by different factors viz. season of birth, period of birth, genetic group and normal lactations completed. LSANOVA heritability estimates of LT2, LT3, LT4, ALTMY, MY/PL, MY/HL, BE, LTDPR, PL and HL were 0.29±0.09, 0.30±0.12, 0.29±0.17, 0.17±0.08, 0.21±0.08, 0.27±0.09, 0.20±0.08, 0.09±0.10, 0.10±0.08 and 0.03±0.06, respectively. Heritability estimates indicated that lifetime fertility traits were less affected by additive gene action. Genetic correlation estimates indicated unfavourable positive correlation between lifetime fertility and production traits.

scholarly journals Assessment of genetic diversity and estimation of genetic parameters for remobilization related traits of wheat under drought conditions

Genetika ◽  
2016 ◽  
Vol 48 (1) ◽  
pp. 139-149
Author(s):  
Ezatollah Farshadfar ◽  
Reza Amiri
Keyword(s):  
Dry Matter ◽  
Genetic Parameters ◽  
Predominant Role ◽  
Genetic Potential ◽  
Cropping Season ◽  
Additive Gene ◽  
Genetic Techniques ◽  
Selection Of ◽  
Kernel Yield

In order to evaluate genetic variability and estimation of remobilization related traits in wheat using biometrical genetic techniques an experiment was conducted in a randomized complete blocks design with three replicates under post-anthesis drought stress conditions in the Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran during 2011-2012 cropping season. The results of analysis of variance showed significant differences between the genotypes for all studied traits except current photosynthesis (CP) and current photosynthesis share into kernel yield (CPSKY). High genetic gain and broad sense heritability estimates were observed for penultimate remobilization share into kernel yield (PenRSKY) and internodes remobilization share into kernel yield (IRSKY) indicating high genetic potential, low effect of environment and predominant role of additive gene effect on their expression. Spike dry matter remobilization (SDMR), spike dry matter remobilization efficiency (SDMRE) and spike remobilization share into kernel yield (SRSKY) exhibited the highest phenotypic and genetic positive correlation with kernel yield (KY). Moreover, the highest genotypic and phenotypic covariance was observed between kernel yield (KY) and SDMR, CP, SDMRE and SRSKY, respectively. The highest environmental covariance was identified between kernel yield (KY), peduncle dry matter remobilization (PedDMR) and penultimate dry matter remobilization (PenDMR), respectively. High co-heritability was detected between SDMRE and PedDMR, PedDMRE and PenDMR and between peduncle remobilization share into kernel yield (PedRSKY) and internodes dry matter remobilization efficiency (IDMRE), suggesting that selection of either of the traits would simultaneously affect the others, positively.

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