Variability, Correlation and Path Coefficient Studies in Summer Mustard (Brassica
Juncea L.)

Akbar, Muhammad; Mahmood, Tariq; Yaqub, Muhammad S.; Anwar, Muhammad Sabieh; Ali, Muhammad Amjad; Iqbal, Nasim

doi:10.3923/ajps.2003.696.698

Cited by 22 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Generally, the positive associations among these traits suggest the prospect of improving these important yield-attributing characters concurrently. The present study is supported by the previous work done by Akbar et al, 2003;Hasan et al, 2014;Shekhawat et al, 2014;Banerjee et al, 2017 andRout et al, 2018 who indicated a positive relationship of different intensity between seed yield per plant and other seed yield related traits. Singh et al (2003) and Lodhi et al (2014) also observed such positive association of seed yield with siliqua on main shot and plant height.…”

Section: Resultssupporting

confidence: 91%

“…The traits like main shoot length, siliqua length, the number of seeds per siliqua, 1000-seed weight and oil content had a non-significant and positive association with seed yield per plant. the positive association between the number of siliqua per plant and seed yield was reported in plenty of publications in Indian mustard (Akbar et al, 2003;Hasan et al, 2014;Shekhawat et al, 2014). Significant positive correlation was observed between main shoot length and 1000seed weight (r=0.219, p=0.033).…”

Section: Resultsmentioning

confidence: 80%

See 1 more Smart Citation

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

View full text Add to dashboard Cite

This research was conducted to study the genetic relationship between eleven quantitative traits of 95 Indian mustard (Brassica juncea L.) genotypes. The experiment material was evaluated in paired rows of 4 m length at Research Area of Oilseeds Section, Department of Genetics and plant breeding, CCS HAU, Hisar during Rabi, 2017-18. All the recommended package of practices was followed to raise the healthy crop. Maximum variation was observed for seed yield per plant followed by the number of secondary branches per plant, the number of primary branches per plant, 1000-seed weight and the number of siliqua on main shoot. Correlation studies revealed that seed yield per plant was positively and significantly associated with plant height, the number of primary and secondary branches per plant, and the number of siliqua on main shoot length. Selection based on these traits would ultimately improve seed yield. Four ideal genotypes viz., DRMRIJ-14-261, DRMRIJ-15-52, DRMRIJ-15-148 and M 5 were identified for the traits such as medium maturity, the number of primary branches per plant, the number of seeds per siliqua and 1000-seed weight in this study. These genotypes can be used as source lines in breeding programme for obtaining desirable segregates. Keywords Descriptive statistics, genetic relationship and Indian mustard (Brassica juncea L.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 80%

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Singh

Avtar²,

Mahavir³

et al. 2020

EJPB

View full text Add to dashboard Cite

show abstract

“…However, the use of heritability alone in advance generations is not adequate to bring significant improvement through selection if not accompanied with sufficient amount of genetic advance. Therefore, heritability when coupled with genetic advance could further strengthen the effectiveness of selection which has been documented by many researchers like, Ghosh and Gulati (2001); Akbar et al (2003); Iqbal et al (2003). Sometimes direct selection of complex traits such as yield could be misleading.…”

mentioning

confidence: 98%

Estimation of Heritability, Genetic Advance and Correlation for Marphological Traits in Spring Wheat

Iqbal¹,

Khalil²,

Shah³

et al. 2017

SJA

View full text Add to dashboard Cite

P akistan has diverse agro-ecological regions comprising both plains and mountains of Baluchistan, Punjab, Sindh, Khyber Pakhtunkhwa (KP), Azad Jammu and Kashmir and Gilgit-Baltistan. These regions include high precipitous valleys and irrigated plains. The environmental issues such as temperature fruitfulness status, soil distinctiveness and rainfall play a vital role in the varietal recital. Wheat is successfully grown in Khyber Pakhtunkhwa. It occupies 40% of the total cropped area and 60% of the area grown to cereals in the province. In 2013-14 the total area devoted to wheat cultivation in KP was 0.72 million ha, which produced 1.15 million tonnes of wheat with an average yield of 1590 kg/ha (GoP, 2015). Improvement in wheat production is essential for future purposes because of ever increasing population pressure. We need to develop such varieties that fulfil our nutritional requirements. Breeding objectives for bread wheat include suitability of different maturity groups for early, mild, and late planting and also special importance are given on high yield, resistance to diseases, resistance to lodging, wide adaptation, better milling, baking and nutritional qualities. Heritability and genetic advance are important to plant Abstract | Heritability plays a pivotal role in selection. Breeders could predict the performance of crop plants by knowing the magnitude of heritability. An experiment was conducted using a set of spring wheat genotypes to estimate heritability for various plant traits during crop season 2014-15 at the University of Agriculture, Peshawar. The randomized complete block design with three replications was used in the experiment. Data were recorded on yield and some other important plant traits like days to heading (days), days to maturity (days), flag leaf area (cm 2 ), spike length (cm), grains spike -1 (no.), grains weight spike -1 (g), biological yield (kg ha -1 ) and grain yield (kg ha -1 ). Mean performance of genotypes showed that all the spring wheat genotypes performed well for all the traits. Spring wheat cultivar Tatara showed best performance for maturity, similarly, genotype SM12 performed well for grains spike -1 and grain weight spike -1 , whereas, genotype SM4 performed well for grain yield. Relatively high heritability with low genetic advance was estimated for days to maturity, while moderate to high heritability coupled with genetic advance was recorded for other yield related traits. Correlation analysis showed that grain yield had strong positive phenotypic and genetic correlation with heading, maturity, flag leaf area and biological yield. Spring wheat genotype SM12 had best performance for grains spike -1 and grain weight spike -1 should be further tested at different location of Khyber Pakhtunkhwa for possible release as a new cultivar.

show abstract

“…Understanding the association between yield and its components is of paramount importance for making the best use of these relationships in selection (Sarawgi et al, 1997). The path coefficient analysis helps breeders to explain direct and indirect effects, and hence been extensively used in breeding experiments in different crop species Akbar et al, 2003). Therefore, the present investigation was undertaken to assess the genetic variability, trait association, and path coefficient analysis in Indian mustard.…”

Section: Issn: 2319-7706 Volume 9 Number 11 (2020)mentioning

confidence: 99%

Genetic Variability, Association and Path Analysis in Indian Mustard [Brassica juncea (L.) Czern & Coss.] for Yield and its Component Traits

Akoju¹,

Arunkumar²,

Kuchanur³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Variability, Correlation and Path Coefficient Studies in Summer Mustard (Brassica Juncea L.)

Cited by 22 publications

References 4 publications

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Assessment of genetic relationship among diverse Indian mustard (Brassica juncea L.) genotypes using XLSTAT

Estimation of Heritability, Genetic Advance and Correlation for Marphological Traits in Spring Wheat

Genetic Variability, Association and Path Analysis in Indian Mustard [Brassica juncea (L.) Czern & Coss.] for Yield and its Component Traits

Contact Info

Product

Resources

About