scholarly journals Interrelationship of pollination conditions, fertilization and sunflower seed yield

Genetika ◽  
2005 ◽  
Vol 37 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Jovan Joksimovic ◽  
Jovanka Atlagic ◽  
Vladimir Miklic ◽  
Nenad Dusanic ◽  
Zvonimir Sakac
Keyword(s):  
Seed Yield ◽  
Pollen Viability ◽  
Correlation Coefficients ◽  
Negative Influence ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Disk Flower ◽  
Corolla Length ◽  
Commercially Important ◽  
Nectar Content

Four commercially important sunflower hybrids (NS-H-45, NS-H-l 11, NS-H-702 and Velja) and their parental components (Ha-74B, Ha-98B, CMS-3-8B, Ha-26B, RHA-583, RHA-R-PI-2/1 and RHA-113N) were used over a period of two years to study the following traits: disk flower corolla length, nectar content, pollen viability, bee visitation, fertilization percentage and seed yield. Relations among the traits were determined by path coefficient analysis. The simple correlation coefficients showed that fertilization percentage and bee visitation had a highly significant influence on seed yield. The corolla length had a positive effect on nectar content, while nectar content had a significant negative influence on pollen viability. The highest significant direct influence on seed yield was that of fertilization percentage, while the effect on nectar content on seed yield was negative but not significant. The coefficient of determination was 0.8071.

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

ASSOCIATION OF CHARACTERS AND PATH COEFFICIENT ANALYSIS OF SEED YIELD AND YIELD COMPONENTS IN ONION (ALLIUM CEPA L.)

2001 ◽  
Vol 49 (2) ◽  
pp. 175-181
Author(s):  
S. Aklilu ◽  
L. Dessalegne ◽  
L. Currah
Keyword(s):  
Seed Yield ◽  
Correlation Coefficients ◽  
Significant Negative Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Flower Stalk ◽  
Allium Cepa L ◽  
Stalk Diameter ◽  
Positive Effect ◽  
High Seed Yield

Fifteen onion genotypes (one standard check and 14 exotic cultivars) were evaluated in RCBD with 3 replications at Melkassa Research Center during the 1999/2000 growing season (Aug.–Feb.). The objective of the study was to understand the association of characters with seed yield. The genotypic correlation coefficients were greater in magnitude than the phenotypic ones. Seed yield/plant had a high, significant correlation with number of flower stalks/plant, number of seeds and flowers/umbel and umbel size. Bolting and flowering period had a significant negative correlation with seed yield/plant. From the path analysis results, the number of flower stalks/plant, bolting period, thousand seed weight, flower stalk diameter and umbel size had a high direct positive effect on seed yield/plant. Since the direct and indirect effects through these components on seed yield are high and positive, selection should concentrate on these traits for high seed yield in onion cultivars. Since these components were found to affect seed yield they could be used for developing varieties for the growing onion industry in the country.

scholarly journals Interrelationship between yield and yield related traits of spring canola (Brassica napus L.) genotypes

Genetika ◽  
2007 ◽  
Vol 39 (3) ◽  
pp. 325-332 ◽  
Author(s):  
Sonja Ivanovska ◽  
Cane Stojkovski ◽  
Zoran Dimov ◽  
Ana Marjanovic-Jeromela ◽  
Mirjana Jankulovska ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Seed Yield ◽  
Seed Weight ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Plant Seed ◽  
Spring Canola ◽  
Pod Length

The research was conducted in order to determine yield related characters which are more effective as selection criteria than yield itself. Three spring canola (Brassica napus L.) genotypes have been investigated for plant height, number of primary branches (including the main raceme), number of pods per plant, pod length, number of seeds per pod, seed weight per pod and 1000 seed weight and their correlations with seed yield per plant. Seed yield had highest correlation with number of pods per plant (r= 0.935 and r= 0.973 in Skopje and Strumica, respectively), followed by seed weight per pod (r= 0.693 and r= 0.729) and 1000 seed weight (r= 0.627 and r= 0.680). Path coefficient analysis was used to identify the direct and indirect effect of studied characters on seed yield. Number of pods per plant (p=0.759 and p=0.877 for Skopje and Strumica, respectively) and seed weight per pod (p=0.216 and p=0.225) had the highest direct effect on seed yield in both locations followed by 1000 seed weight (p=0.056 and p=0.010). The coefficient of determination (R2) was 0.943.

scholarly journals Phenotypic and genotypic variability of disc flower corolla length and nectar content in sunflower

Genetika ◽  
2003 ◽  
Vol 35 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Jovan Joksimovic ◽  
Jovanka Atlagic ◽  
Zvonimir Sakac ◽  
Vladimir Miklic ◽  
Nenad Dusanic
Keyword(s):  
Phenotypic Variability ◽  
Phenotypic Variance ◽  
Genotypic Variability ◽  
Corolla Length ◽  
Disc Flower ◽  
Commercially Important ◽  
Phenotypic And Genotypic Variability ◽  
Nectar Content

The nectar content and disc flower corolla length are the two most important parameters of attractiveness to pollinators in sunflower. The phenotypic and genotypic variability of these two traits was studied in four commercially important hybrids and their parental components in a trial with three fertilizer doses over two years. The results showed that, looking at individual genotypes, the variability of disc flower corolla length was affected the most by year (85.38-97.46%). As the study years were extremely different, the phenotypic variance of the hybrids and parental components was calculated for each year separately. In such conditions, looking at all of the crossing combinations, the largest contribution to phenotypic variance of the corolla length was that of genotype: 57.27-61.11% (NS-H-45) 64.51-84.84% (Velja); 96.74-97.20% (NS-H-702) and 13.92-73.17% (NS-H-111). A similar situation was observed for the phenotypic variability of nectar content, where genotype also had the largest influence, namely 39.77-48.25% in NS-H-45; 39.06-42.51% in Velja; 31.97-72.36% in NS-H-702; and 62.13-94.96% in NS-H-111.

scholarly journals Correlation and path coefficient analysis in determining the characteristics that affect seed yield in different lentil (Lens culinaris Medik.) genotypes in Kahramanmaras conditions

2021 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Alihan Cokkizgin ◽  
Umit Girgel ◽  
Hatice Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Path Coefficients ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

scholarly journals Correlation Coefficient and Path Analysis in Table Pea (Pisum sativumvar. Hortense L.)

2020 ◽  
pp. 56-60
Author(s):  
Archi Gupta ◽  
Bijendra Singh ◽  
Satya Prakash ◽  
Sanghamitra Rout ◽  
Jagraj Singh
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Correlation Coefficients ◽  
Research Centre ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Positive Direct ◽  
Number Of Seeds

An experiment was layout at the Horticulture Research Centre, SVPUAT, Meerut During 2018-2020 to estimate correlation coefficients and path coefficient analysis in Table pea using 36 genotypes including eight parents and 28 F1 on nine quantitative characters. Correlation coefficient result showed that seed yield per plant have highly significant and positive correlation with number of pods per plant (0.821, 0. 818), length of first fruiting node (0.587, 0.585), number of seeds per pod (0.547, 0.517), days to 50% flowering (0.467, 0.464), plant height (0.447, 0.447), width of pod (0.387, 0.284), length of pod (0.375, 0.363) and number of first fruiting node (0.353, 0.349). Path coefficient result showed that the highest positive direct effect on seed yield per plant was exhibited by several pods per plant, several seeds per pod and days to 50% flowering at both genotypic and phenotypic level.

scholarly journals Effects of Irrigation and Nitrogen Fertilization on Seed Yield, Yield Components, and Water Use Efficiency of Cleistogenes songorica

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 466
Author(s):  
Qibo Tao ◽  
Mengjie Bai ◽  
Cunzhi Jia ◽  
Yunhua Han ◽  
Yanrong Wang
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Seed Yield ◽  
Yield Components ◽  
Perennial Grass ◽  
Yield Component ◽  
Path Coefficient ◽  
Grass Seed ◽  
Significant Difference ◽  
Use Efficiency

Irrigation and nitrogen (N) are two crucial factors affecting perennial grass seed production. To investigate the effects of irrigation and N rate on seed yield (SY), yield components, and water use efficiency (WUE) of Cleistogenes songorica (Roshevitz) Ohwi, an ecologically significant perennial grass, a four-year (2016–2019) field trial was conducted in an arid region of northwestern China. Two irrigation regimes (I1 treatment: irrigation at tillering stage; I2 treatment: irrigation at tillering, spikelet initiation, and early flowering stages) and four N rates (0, 60, 120, 180 kg ha−1) were arranged. Increasing amounts of both irrigation and N improved SY, evapotranspiration, WUE, and related yield components like fertile tillers m−2 (FTSM) and seeds spikelet−1. Meanwhile, no significant difference was observed between 120 and 180 kg N ha−1 treatments for most variables. The highest SY and WUE was obtained with treatment combination of I2 plus 120 kg N ha−1 with four-year average values of 507.3 kg ha−1 and 1.8 kg ha−1 mm−1, respectively. Path coefficient and contribution analysis indicated that FTSM was the most important yield component for SY, with direct path coefficient and contribution coefficient of 0.626 and 0.592. Overall, we recommend I2 treatment (three irrigations) together with 120 kg N ha−1 to both increase SY and WUE, especially in arid regions. Future agronomic managements and breeding programs for seed should mainly focus on FTSM. This study will enable grass seed producers, plant breeders, and government program directors to more effectively target higher SY of C. songorica.

Growth performance, correlation and regression estimates of seven-chicken strains in South-Western Nigeria

2020 ◽  
Vol 45 (2) ◽  
pp. 40-48
Author(s):  
A. J. Atansuyi ◽  
U. C. Ihendu ◽  
C. A. Chineke
Keyword(s):  
Body Weight ◽  
Growth Performance ◽  
Correlation Coefficients ◽  
Tail Length ◽  
Experimental Period ◽  
The Body ◽  
Coefficient Of Determination ◽  
Indigenous Chicken ◽  
Randomized Design ◽  
Study Results

This study was conducted to determine the growth performance, correlation and regression estimates of seven-chicken strains in South-western Nigeria using a total of 300 day-old chicks. The birds were divided into seven groups based on their strain. The seven strains are Normal feather (NF), Fulani ecotype (FE), Frizzle feather (FF), naked neck (NN) and Transylvania indigenous strains while Hubbard and Marshal were meat-type exotic chickens. There were forty- five (45) unsexed day-old chicks in each strain except the Frizzle feather that were 30 in number. Completely randomized design (CRD) was used for the trial that lasted for 8 weeks. The birds were fed experimental diets ad libitum throughout the period of the study. Results showed that there were significant differences (p<0.05) in the initial and final weights of the birds. It was observed that exotic strains weighed heavier (3569.73gHB) than their indigenous counterparts (1391.11gNF). However, the Fulani ecotype weighed heaviest (1840.99g) among Nigeria indigenous strains during the experimental period. This showed that FE strains are generally heavy breed chicken and could be incorporated into a meat producing indigenous chicken if improved upon. The result of the correlation coefficients showed that a very strong, positive and highly significant (P<0.001) relationship existed between body weights and linear body measurements as most of the values are (>0.40). All the body parameter examined had significant (p<0.01) and direct relationship with the body weight. Shoulder-to-tail length (STL) had the highest coefficient of 0.98.The high correlation estimates obtained in this study could be as a result of pleiotropy, heterozygosity or linkage of genes in the birds. The three functions were highly significant (p<0.05) for all the parameters studied. This shows that the functions well described the parameters. On the basis of coefficient of determination (R ), the body weight of poultry birds at any age can be predicted most accurately with BRG using cubic function.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Using Canopy Measurements to Predict Soybean Seed Yield

2021 ◽  
Vol 13 (16) ◽  
pp. 3260
Author(s):  
Peder K. Schmitz ◽  
Hans J. Kandel
Keyword(s):  
Seed Yield ◽  
Prediction Models ◽  
Plant Density ◽  
Soybean Seed ◽  
Canopy Cover ◽  
Growing Season ◽  
Practical Method ◽  
Coefficient Of Determination ◽  
Planting Dates ◽  
The Individual

Predicting soybean [Glycine max (L.) Merr.] seed yield is of interest for crop producers to make important agronomic and economic decisions. Evaluating the soybean canopy across a range of common agronomic practices, using canopy measurements, provides a large inference for soybean producers. The individual and synergistic relationships between fractional green canopy cover (FGCC), photosynthetically active radiation (PAR) interception, and a normalized difference vegetative index (NDVI) measurements taken throughout the growing season to predict soybean seed yield in North Dakota, USA, were investigated in 12 environments. Canopy measurements were evaluated across early and late planting dates, 407,000 and 457,000 seeds ha−1 seeding rates, 0.5 and 0.8 relative maturities, and 30.5 and 61 cm row spacings. The single best yield predictor was an NDVI measurement at R5 (beginning of seed development) with a coefficient of determination of 0.65 followed by an FGCC measurement at R5 (R2 = 0.52). Stepwise and Lasso multiple regression methods were used to select the best prediction models using the canopy measurements explaining 69% and 67% of the variation in yield, respectively. Including plant density, which can be easily measured by a producer, with an individual canopy measurement did not improve the explanation in yield. Using FGCC to estimate yield across the growing season explained a range of 49% to 56% of yield variation, and a single FGCC measurement at R5 (R2 = 0.52) being the most efficient and practical method for a soybean producer to estimate yield.

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