scholarly journals Studies on Correlation and Path Analysis in Linseed (Linum usitatissimum L.) Over Locations in Mid-hills of North-Western Himalayas

2021 ◽  
Author(s):  
Garima Thakur ◽  
Satish Paul ◽  
Uttam Chandel ◽  
Ronika Thakur
Keyword(s):  
Grain Yield ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Agricultural Research ◽  
Positive Correlation ◽  
Linum Usitatissimum L ◽  
Important Trait

Background: Seed yield is a very important trait for selection but shows low heritability and hence is difficult to improve. Since the productivity of linseed (Linum usitatissimum L.) in India as well as Himachal Pradesh is low in comparison to other major linseed growing countries and states, improvement in cultivars for grain yield is a must. Therefore, the present study was aimed for studying the character associations in linseed genotypes for seed yield over locations. Method: The experiment was conducted during rabi 2019-2020. The experimental material for the present investigation comprised of 52 linseed genotypes grown over three locations in Himachal Pradesh i.e. Linseed Experimental Farm, CSK HPKV, Palampur (1290 m amsl), Shivalik Agricultural Research and Extension Centre, Kangra (700 m amsl) and Hill Agricultural Research and Extension Centre, Dhaulakuan (468 m amsl). Randomized block design with three replications was used. Phenotypic and genotypic correlation coefficients were worked out as per the procedure outlined by Burton and De Vane (1953) and Johnson et al. (1955). Direct and indirect effects of component traits on grain yield were worked out using correlation coefficient of various traits as suggested by Wright (1921) and elaborated by Dewey and Lu (1959). Result: Correlation studies indicated highly significant positive correlation for seed yield with 1000 seed weight (0.965**) followed by harvest index (0.801**), secondary branches (0.585**) and a significant correlation with biological yield (0.269**). Seed yield exhibited a non-significant positive correlation with seeds per capsule. However, a negative significant correlation was observed for seed yield with days to 50 per cent flowering and number of primary branches. The path coefficient analysis indicated that 1000 seed weight exhibited maximum positive direct effect with seed yield (0.741) while others had a low direct effect. The significant positive correlation of number of secondary branches and harvest index with seed yield was mainly due to indirect effect via 1000 seed weight indicating that 1000 seed weight is the most important trait for the improvement of grain yield in linseed as per the present study.

Bud structure of linseed (Linum usitatissimum L.) in relation to incidence of bud fly (Dasyneura lini Barnes) in Central Uttar Pradesh

2018 ◽  
Vol 3 (02) ◽  
pp. 141-144
Author(s):  
Rishi Pal ◽  
Y. P. Malik
Keyword(s):  
Field Experiment ◽  
Correlation Coefficient ◽  
Linum Usitatissimum ◽  
Significant Positive Correlation ◽  
Uttar Pradesh ◽  
Positive Correlation ◽  
Linum Usitatissimum L ◽  
Relative Minimum ◽  
Germplasm Line ◽  
Positive Correlation Coefficient

A field experiment conducted for screened 288 elite gen pool of linseed against bud fly infestation at Kanpur, India during rabi 2012-13 to study the bud structure of resistance of linseed against bud fly. The results indicated that the bud length and width showed significant positive correlation coefficient relationship (r=0.1559 and 0.0761) bud infestation. The resistant germplasm line minimum (GS-234) minimum bud length and width (7.93 ×3.26 mm) had relative minimum bud infestation (6.88%) and was statically at par other resistant germplasm lines viz. A-95B, CI-1385, EC-1392, EC-1424, GS-234, IC-15888 and JRF-5. While susceptible germplasm line (Arny) exhibited maximum bud length and width (8.25 ×3. 23 mm) maximum bud infestation(65.11%) which was statically at par with other susceptible lines viz. Ajgan-3-1, Ajgan-20M, Alipur (Hamirpur), Anand, GS-148, GS-440, Gunawal Local, NP(RR)193, RAULD-7810, RLC-28(PM), MS-14, SJKO-2, SJKO-45.

EFFECT OF SEEDING RATE ON PLANT AND SEED CHARACTERISTICS OF NEW FLAX CULTIVARS

1989 ◽  
Vol 69 (3) ◽  
pp. 791-795 ◽  
Author(s):  
G. H. GUBBELS ◽  
E. O. KENASCHUK
Keyword(s):  
Iodine Number ◽  
Plant Height ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Oil Content ◽  
Seeding Rate ◽  
Linum Usitatissimum L ◽  
Volume Weight ◽  
Seed Characteristics

Five flax (Linum usitatissimum L.) cultivars, Dufferin, McGregor, Linott, NorLin and NorMan were grown in the field in 1985, 1986 and 1987 at seeding rates of 200, 400, 600 and 800 seeds m−2. Averaged over all cultivars and years, as seeding rate increased from 200 to 800 seeds m−2, maturity was hastened 2.1 d, seed weight decreased 0.16 g 1000−1 seeds, oil content decreased 0.6%, iodine number decreased 1.3 units and volume weight was not markedly changed. Lodging increased and basal branching decreased from 1.68 to 0.18 branches per plant as seeding rate increased. Plant height increased 0.6 cm from the 200 to the 400 seeds m−2 rate then decreased 1.8 cm from the 400 to the 800 seeds m−2 rate. Seed yield increased from 110 to 124 g m−2 as seeding rate increased from 200 to 600 seeds m−2, then decreased to 121 g m−2 at 800 seeds m−2. Although yields of the five cultivars varied somewhat in their response to seeding rate and year, most yielded near optimum at the 600 seeds m−2 seeding rate.Key words: Flax, Linum usitatissimum L., seeding rate, lodging

scholarly journals CREATION OF LINUM USITATISSIMUM INITIAL MATERIAL WITH MARKER SIGN – YELLOW-COLORED SEEDS

2021 ◽  
Vol 3 (27) ◽  
pp. 135-143
Author(s):  
V.P. Ponazhev ◽  
Keyword(s):  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Seed Mass ◽  
Point Of View ◽  
Breeding Value ◽  
Initial Material ◽  
Standard Variety ◽  
Fiber Flax ◽  
Linum Usitatissimum L

Creation of the initial material of fiber flax (Linum usitatissimum L.) with marker signs is a promising direction of breeding, which determines the efficiency of breeding varieties with improved properties. The purpose of the research was to create initial flax material for obtaining seeds with a marker sign (yellow color) and increased weight. The studies were carried out at the Federal Research Center for Bast Fiber Crops in 2015–2018. In our work, we used flax varieties ‘Smolich’, ‘Antey’, ‘C-108’, as well as forms obtained from these varieties. These varieties were used as control. Nurseries were laid under conditions of a leveled agricultural background. Seeds were sown in a square way (2.5×2.5 cm). The experiments were conducted according to the current methods, including phytopathological testing. Soil – sod-podzolic, medium loamy, cultivated. Selyaninov Hydrothermal Coefficient (HTC) in 2015 was 1.3; in 2016 – 2.2; in 2017 – 1.8; in 2018 – 1.3. During the flax plants selection, we obtained three forms with yellow-colored seeds. Yellow-seeded form No. 1 was valuable from the breeding point of view. It exceeded standard variety ‘Smolich’ in seed weight by 0.8 mg (16.0%), in seed yield – by 0.06 t/ha (9.8%). Form No. 1 belongs to the improved fiber flax line. Form No. 3 had a higher seed mass (5.6 mg) compared to standard variety ‘C-108’. In terms of seed yield and 1000-seed weight, this form exceeded the standard by 0.08 t/ha or 14.8% and 0.49 g or 10.6%, respectively. Form No. 3 is a breeding material for creating varieties of bilateral use. Form No. 2 had signs of the oil flax line. It exceeded standard variety ‘Antey’ in seed yield by 0.18 t/ha (40%); 1000-seed weight – by 0.53 g (11.2%). The created material has a breeding value. It was transferred to the bioresource collection of flax for its replenishment, to the bank of the characteristic collection and was additionally included in the breeding process.

scholarly journals Correlation and Path Analysis of Yield Contributing Traits and Seed Yield in Greengram [Vigna Radiata (L.) Wilczek]

2019 ◽  
Author(s):  
T. Anuhya Jayaprada ◽  
G. Roopa Lavanya ◽  
V. Ram Babu ◽  
Ch. Naga Sai Krishna ◽  
T. Sudheer Reddy
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Number Of Clusters ◽  
Plant Seed ◽  
Positive Correlation ◽  
Biological Yield ◽  
Seed Index ◽  
Number Of Seeds

The present investigation was undertaken to study the extent of interrelationship and direct and indirect effect of component characters on seed yield in a set of 20 genotypes of greengram. The material was evaluated in randomized block design with three replications during the Kharif, 2017. Observations were recorded for 13 quantitative characters. Correlation coefficient analysis revealed that seed yield per plant exhibit significant positive correlation with number of pods per plant, biological yield per plant, harvest index, plant height, number of seeds per pod, pod length, number of clusters per plant, seed index. Harvest index, biological yield per plant, number of pods per plant, seed index, number of seeds per pod, plant height and number of clusters per plant exhibited positive direct effect accompanied by significant positive correlation with seed yield. Thus priority should be given to these characters during selection for greengram yield improvement.

scholarly journals Ekmeklik Buğdayda (Triticum aestivum L.) Farklı Ekim Sıklıklarının Verim ve Verim Bileşenleri Üzerine Etkisinin Belirlenmesi

2020 ◽  
Vol 8 (2) ◽  
pp. 380
Author(s):  
Ali Cevat Sonmez ◽  
Murat Olgun
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Agricultural Research ◽  
Transitional Zone ◽  
Triticum Aestivum L ◽  
Spike Length ◽  
Positive Correlation ◽  
Wheat Cultivation ◽  
Rainfed Conditions ◽  
Spike Number

In wheat cultivation, sowing frequency is one of the crucial agronomic applications affecting grain yield. The aim of the research was to determine the effects of application of different sowing frequency (350, 500, 650 and 800 seeds m-2) for bread wheat cultivars (Alpu 01, Atay 85, Bezostaja 1, Harmankaya 99, Sönmez 01 and Sultan 95) on yield and yield components. Trials was carried out in Transitional Zone Agricultural Research Institute Eskişehir central campus fields during at 2012-13 and 2013-14 crop seasons in irrigated and rain fed conditions with 3 replications in randomized complete blocks design. In this study, the factors such as grain yield, number of spike per square meter, spike length, number of grain per spike, weight of grain per spike and harvest index were examined in terms of sowing frequency applications and cultivars in both conditions. As a result, the maximum grain yield was obtained from 650 seeds m-2 in rainfed conditions and this value was obtained from the application 500 seeds m-2 in irrigated conditions. Harmankaya_99 variety reached the highest values in terms of grain yield in both conditions and followed this by Alpu01 variety. In both conditions spike length, number of grain per spike, weight of grain per spike and harvest index parameters decreased inversely with increasing sowing frequency, while the number of spike number per square meter increased in direct proportion to increased sowing frequency. In rainfed conditions while there was a positive correlation between the grain yield with number of spike per square meter and harvest index, there was negative correlation among grain yield with spike length, number of grain per spike and weight of grain per spike. There was found significant positive correlation between grain yield with spike length and harvest index in irrigated conditions.

scholarly journals Heterosis and heterobeltiosis of yield associated traits in rapeseed cultivars under limited nitrogen application

2012 ◽  
Vol 58 (3) ◽  
pp. 77-84 ◽  
Author(s):  
Valiollah Rameeh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Significant Positive Correlation ◽  
Selection Criterion ◽  
Genetic Effects ◽  
Main Axis ◽  
Oil Yield ◽  
Positive Correlation ◽  
Oil Percentage ◽  
Additive Genetic Effects

Half F2 diallel crosses of six spring cultivars of rapeseed (Brassicanapus L.) were used to estimate heterosis effects of yield components, seed yield, oil percentage, and oil yield under limited nitrogen condition. Significant mean squares of general and specific combining abilities (GCA and SCA) were detected for pods per main axis, pods per plant, length of pod, seeds per pods, 1000-seed weight, seed yield, and oil content and oil yield indicated respectively the importance of additive and non-additive genetic effects for these traits. High narrowsense heritability estimates for 1000-seed weight, oil percentage, and oil yield indicating the prime importance of additive genetic effects for these traits. Most of the cross combinations with significant positive heterobeltiosis for seed yield had also significant heterobeltiosis effects for pods per plant and pods on main axis; therefore these traits can be used as indirect selection criteria for improving seed yield. Significant positive correlation of mean performances with heterosis and heterobeltiosis effects for most of the traits except 1000-seed weight indicated that selection of the superior crosses based on heterosis and heterobeltiosis effects will be effective for their mean performances improving these traits except 1000- seed weight. Significant positive correlation was determined between pods per plant and seed yield, indicating that this trait can be used as good selection criterion for seed yield improvement. The crosses including RAS-3/99 × RW-008911 and RAS- 3/99 × RGS-003 with high significant positive heterobeltiosis effects of seed yield were superior combinations for seed yield increasing.

Analysis of yield factors in segregating populations and their implications in selection of flax (Linum usitatissimum)

1983 ◽  
Vol 25 (5) ◽  
pp. 495-501 ◽  
Author(s):  
S. K. Rao ◽  
S. P. Singh
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Correlation Coefficients ◽  
Positive Association ◽  
Direct Selection ◽  
Linum Usitatissimum L ◽  
Selection Indices ◽  
Efficient Prediction

Correlation coefficients were calculated in all possible combinations between days to maturity, plant height, number of capsules, primary branches, secondary branches, average number of seeds per capsule, 1000-seed weight, and seed yield per plant in 48 F3 populations of flax (Linum usitatissimum L.). None of these attributes had negative association with seed yield. The majority of the yield components had a strong positive association with seed yield and the correlation coefficient of plant height with seed yield was negligible. Multiple regression analysis revealed that the regression equation involving number of secondary branches and number of capsules per plant had efficient prediction power. Path analysis studies also revealed that number of capsules followed by secondary branches and 1000-seed weight were the major components influencing seed yield. Selection indices based on primary branches, secondary branches, number of capsules, 1000-seed weight, and seed yield per plant were 203.83% superior to direct selection for seed yield.

scholarly journals Studies on correlation and path analysis in germplasm of Indian mustard [Brassica juncea (L.) Czern and Coss.]

2020 ◽  
Vol 15 (2) ◽  
pp. 101-106
Author(s):  
Dinesh Awasthi ◽  
V.K. Tiwari ◽  
V.S. Kandalkar
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Significant Positive Correlation ◽  
Strong Association ◽  
Indian Mustard ◽  
Phenotypic Correlation ◽  
Index Number ◽  
Positive Correlation ◽  
Positive Effects ◽  
Number Of Seeds

Studies on correlation revealed that seed yield per plant and harvest index exhibited significant positive correlation and both traits also demonstrated significant positive correlation with days to 50 per cent flowering and number of secondary branches per plant at both genotypic and phenotypic level. This indicated the strong association of seed yield per plant, harvest index, days to 50 per cent flowering and number of secondary branches per plant. Both genotypic and phenotypic correlation co-efficient for seed yield per plant was found significant positive correlation with days to 50 per cent flowering, number of secondary branches per plant, number of siliqua per plant and harvest index. Number of siliqua per plant was found significant positive correlation with number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant and seed yield per plant. Number of secondary branches per plant was found significant positive correlation with days to 50 per cent flowering, number of primary branches per plant, number of siliqua per plant, number of seeds per siliqua, seed yield per plant and harvest index. Further, the path co-efficient analysis showed lowresidual effect (0.00482, 0.00304 and 0.00167) during Rabi 2016-17 and 2017-18 indicating that most of the major yield components were included in the study. Harvest index percentage had the highest direct positive effects on seed yield per plant, number of siliqua per plant, number of seeds per siliqua, number of secondary branches per plant and days to maturity. Based on result it has been concluded that two traits namely seed yield per plant and harvest index exhibited significant positive correlation as well as direct effect on seed yield may be considered for selection and to improve the seed yield of the mustard germplasm.

Structural equation modeling of the Canadian flax (Linum usitatissimum L.) core collection for multiple phenotypic traits

2014 ◽  
Vol 94 (8) ◽  
pp. 1325-1332 ◽  
Author(s):  
Tao Zhang ◽  
Eric G. Lamb ◽  
Braulio Soto-Cerda ◽  
Scott Duguid ◽  
Sylvie Cloutier ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Seed Weight ◽  
Structural Equation ◽  
Core Collection ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Phenotypic Traits ◽  
Linum Usitatissimum L

Zhang, T., Lamb, E. G., Soto-Cerda, B., Duguid, S., Cloutier, S., Rowland, G., Diederichsen, A. and Booker, H. M. 2014. Structural equation modeling of the Canadian flax (Linum usitatissimum L.) core collection for multiple phenotypic traits. Can. J. Plant Sci. 94: 1325–1332. Flax seed yield is a complex trait that results from the inter-relationship between many crop characteristics. Structural equation modeling (SEM) is a statistical method used to determine the relationship between measured variables such as crop characteristics. Crop phenology, canopy traits, yield, and its components were included in structural equation models to determine how these crop characteristics relate to seed yield in a phenotypically diverse collection of flax germplasm. Early season vigor (scored as greater plant stand) was positively associated with canopy light interception and higher seed yield. Plant height also had a significant positive effect on seed yield. Moreover, yield components such as 1000-seed weight, number of bolls per unit area, and boll weight were strongly and positively correlated with seed yield. Focusing on yield-related traits, canopy architecture and expansion, and seed weight may be advantageous over yield per se in breeding for yield improvement.

Genetic variability, mean performance and analysis of variance in Linseed (Linum usitatissimum L.)

2019 ◽  
Vol 4 (01) ◽  
pp. 89-95
Author(s):  
Ravindra Kumar Kasana ◽  
P. K. Singh ◽  
Amit Tomar ◽  
Mahak Singh
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Analysis Of Variance ◽  
Seed Yield ◽  
Linum Usitatissimum ◽  
Harvest Index ◽  
Linum Usitatissimum L ◽  
Days To Maturity ◽  
Biological Yield ◽  
Number Of Seeds

The most promising lines showing highest seed yield with high mean performance for other yield contributing characters were identified as EC-22672, NDLS-164, NDLS-169 and NDLS-205-03-02. The genotypes exhibiting highest mean performance for different characters such as EC-22672 for seed yield per plant, SLS-50, NDL-204, Meera and NDLS-204 for early days to 50% flowering, NDLS-181 for early days to maturity, EC- 41494 for plant height, NDLS-77 for primary branches per plant, NDLS-169 for secondary branches per plant, EC-41404 for number of capsules per plant, EC-41494 for number of seeds per capsule, Shekhar for biological yield, EC-23269 for harvest index and SLS-48 for test weight.

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