Interrelationships among yield components of chickpea in semiarid environments

2003 ◽  
Vol 83 (4) ◽  
pp. 759-767 ◽  
Author(s):  
Y. T. Gan ◽  
P. H. Liu ◽  
F. C. Stevenson ◽  
C. L. McDonald
Keyword(s):  
Cicer Arietinum ◽  
Seed Yield ◽  
Vegetative Growth ◽  
Yield Components ◽  
Seed Weight ◽  
Plant Density ◽  
Growth Period ◽  
Yield Potential ◽  
Path Coefficient ◽  
Negative Effect

Chickpea (Cicer arietinum L.) seed yield can be increased by identifying and managing the key yield components. A field study was conducted in southwestern Saskatchewan in 1999 and 2000 to determine the direct and indirect effects of various yield components on chickpea seed yield . Both desi- and kabuli-chickpea were planted at the target plant populations of 20, 30, 40, and 50 plants m-2 on conventional summerfallow (CS) and no-till wheat stubble (NT). Path coefficient analyses revealed that seed yield for both chickpea classes largely depended upon pods m-2 and seed weight, with the kabuli crop having higher coefficient values than the desi. These relationships were stronger when the pulses were grown on CS than on NT. Seeds pod-1 had a negative effect on seed yield for the kabuli crop, but this negative effect was counterbalanced by a strong, positive effect of seed weight on seed yield. The total pod production of the desi crop depended on plants m-2 more than on pods plant-1, whereas the pod production of the kabuli crop relied equally on plants m-2 and pods plant-1. For both chickpea classes, mean seed weight decreased with prolonged vegetative growth period regardless of tillage environment. Seed weight was positively related to the length of reproductive growth and seeds pod-1 only when the pulses were grown on CS. Seed yield potential of desi chickpea would be increased by increasing plant population to produce more pods per unit area, whereas the seed yield potential of kabuli chickpea would be increased by shortening the period of vegetative growth, promoting the number of pods per plant, and increasing mean seed weight. Key words: Cicer arietinum, yield components, plant density, seed weight, canopy, path analysis

Crop density and seed production of tall fescue (Festuca arundinacea Schreber). 2. Reproductive components and seed characteristics

1999 ◽  
Vol 79 (4) ◽  
pp. 543-549 ◽  
Author(s):  
N. A. Fairey ◽  
L. P. Lefkovitch
Keyword(s):  
Seed Yield ◽  
Tall Fescue ◽  
Festuca Arundinacea ◽  
Yield Components ◽  
Seed Weight ◽  
Seed Quality ◽  
Plant Density ◽  
Initial Density ◽  
Row Spacing ◽  
Seed Characteristics

The population density and spatial arrangement of plants may influence the productive life and performance characteristics of a perennial grass-seed crop. A study was conducted to determine the effects of the initial density (1.6, 3.1, 6.3, 12.5, 25, 50 and 100 plants m−2) and row spacing (20, 40, and 80 cm) of plants on reproductive yield components and seed characteristics of tall fescue (Festuca arundinacea Schreber), over 3 consecutive production years (1991–1993) in the Peace region of Canada. The weight proportion of cleaned-to-uncleaned seed was 85–86% for the three lowest plant densities and then decreased, as density increased, to 82% at 12.5 plants m−2 and 66% at 100 plants m−2. The 1000-seed weight decreased as density increased and ranged from 1.68 to 2.22 g (i.e., 595 000 to 450 000 seeds kg−1). The specific seed weight ranged from 18 to 31 kg hL−1; it differed among years, but the effect of plant density was inconsistent. The germination capacity of the seed was unaffected by plant density, but differed among years; it averaged 87%, 88% and 59% in 1991, 1992 and 1993, respectively. The seed yield/plant, the number of panicles/plant, and the number of seeds/plant decreased exponentially as plant density increased. The number of clean seeds/panicle decreased, as plant density increased, in the first year but was less affected subsequently, particularly with the 20-cm row spacing. The seed yield was correlated closely with the number of panicles m−2 (r = 0.659***). An initial density no greater than 25 plants m−2 in rows spaced 20–40 cm apart enhanced seed quality by producing a greater proportion of clean seed which had a higher 1000-seed weight. Such a plant density, however, is at the low end of the optimum range for maximizing seed yield per unit land area. Key words: Tall fescue, Festuca arundinacea Schreber, population density, plant and row spacing, yield components, seed quality

Plant height and width inheritance and their correlation with some of the yield components in chickpeas (Cicer arietinum L.)

1972 ◽  
Vol 78 (1) ◽  
pp. 37-38 ◽  
Author(s):  
M. Khosh-Khui ◽  
M. Niknejad
Keyword(s):  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
The Other ◽  
Cicer Arietinum L ◽  
Number Of Genes ◽  
Minimum Number ◽  
Pure Lines

SUMMARYTwo chickpea pure lines, one being short and wide in stature and the other tall and narrow, were crossed. Parents, F1 and F2 generations were grown in the field to study the inheritance of plant dimensions, as well as their correlation with seed yield. Heritability, in broad sense, for plant height and width was 36 and 20% respectively. Estimated minimum number of genes for plant height was two and for plant width was three pairs of genes. Plant height showed correlation values of 0·43 and -0·67 with yield of seed and 1000 seed weight respectively. There were no significant correlations between plant width and the same two yield components.

Correlations and path analysis of yield components in synthetic varieties of sunflower ( Helianthus annuus L.)

2007 ◽  
Vol 55 (3) ◽  
pp. 339-345 ◽  
Author(s):  
A. Göksoy ◽  
Z. Turan
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Field Trials ◽  
Path Coefficient ◽  
Head Diameter ◽  
Synthetic Varieties ◽  
Number Of Seeds

This study was made in order to determine the correlations between seed yield and some yield components, and the direct and indirect effects of these characters on seed yield in sunflower. Four experimental synthetic varieties (Syn 1s), their parental mixtures (Syn Os) and two standard varieties (open pollinated: Vniimk 8931, and commercial hybrid: Sunbred-281) were evaluated in replicated field trials under Turkish conditions in 1995, 1996 and 1997. Agronomic characteristics such as plant height, head diameter, number of seeds per head, 1000-seed weight and seed yield were observed for correlations and path coefficient analysis.According to the results, seed yield gave significant positive correlations with plant height, head diameter, number of seeds per head and 1000-seed weight. The highest positive correlation was observed between seed yield and number of seeds per head (r=0.890**). Path analysis indicated that the number of seeds per head gave the greatest direct effect (+0.7269) on seed yield, followed by 1000-seed weight (+0.3215) and head diameter (+0.1689). The percentage of direct effects on seed yield was 80.8%, 50.6% and 24.0% for number of seeds per head, 1000-seed weight and head diameter, respectively.

scholarly journals Correlation and path coefficient analysis of seed yield and yield components of French bean (Phaseolus vulgaris L.) genotypes in sub-tropical region.

2020 ◽  
Author(s):  
S. Kalauni
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
French Bean ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

Abstract This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. In this study, six French bean genotypes were used. The following measurements and observations were made: germination (%), pod length (cm), pod diameter (mm), individual pod weight and number of seeds pod-1, number of dry pods plant-1, dry pod yield plant-1 and dry pod yield (t/ha), 100 seed weight (g) and seed yield (t/ha). Highly significant and positive correlation was recorded between seed yield and individual pod weight (r=0.659***), number of seed pod-1 (r=0.548**) and pod length (0.459*). Conversely, pod diameter showed a negative and non-significant (-0.025) correlation on seed yield. Based on simple regression analysis, linear regression of individual pod weight, number of seed pod-1 and pod length leads to an increase in the seed yield (t/ha) by 0.188, 0.285 and 0.103 units respectively. From the path coefficient analysis maximum positive direct effect on seed yield was recorded by number of seeds pod-1 (0.767) followed by 100 seed weight (0.530) and individual pod weight (0.429). Also, stepwise multiple linear regression analysis revealed that three traits including individual pod weight, 100 seed weight and number of dry pod plant-1 with R2 = 68.22% showed their overall contribution towards seed yield. The rest of the variance (R2 = 31.78%) was contributed by the variables that were not included in the study. Results concerning four statistical methods showed that individual pod weight appeared to be most effective contributor of seed yield followed by the number of seed pod-1, 100 seed weight, and pod length. Therefore, attention should be paid to these characters in any breeding program during the selection criteria for improving the seed yield.

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

2015 ◽  
Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Yield Components ◽  
Seed Weight ◽  
Mean Value ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

2016 ◽  
Author(s):  
Indu Bala Dehal ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Cicer Arietinum ◽  
Direct Effect ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L ◽  
Biological Yield ◽  
100 Seed Weight

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.

Response of kabuli chickpea (Cicer arietinum L.) to sowing rate in Mediterranean-type environments of south-western Australia

2003 ◽  
Vol 43 (1) ◽  
pp. 87 ◽  
Author(s):  
K. L. Regan ◽  
K. H. M. Siddique ◽  
L. D. Martin
Keyword(s):  
Seed Yield ◽  
Western Australia ◽  
Seed Weight ◽  
Plant Density ◽  
Unit Area ◽  
Mechanical Damage ◽  
Strong Relationship ◽  
Yield Potential ◽  
Asymptotic Model ◽  
Plant Densities

The effect of sowing rate (60–320 kg/ha) on the growth and seed yield of kabuli chickpea (cv. Kaniva) was assessed at 11 sites for 4 seasons in the cropping regions of south-western Australia. The economic optimum plant density and yield potential were estimated using an asymptotic model fitted to the data and calculating the sowing rate above which the cost of additional seed was equivalent to the revenue that could be achieved from the extra seed yield produced, assuming a 10 and 50% opportunity cost. On average for all sites and seasons, plant densities ranged from 10 plants/m2 when sown at 60 kg/ha to 43�plants/m2 when sown at 320 kg/ha. Assuming a mean seed weight of 400 mg and a germination of 80%, then on average 75% of viable seeds sown (or 60% of sown seeds) established as plants. The poor establishment rates are thought to be associated with reduced viability caused by mechanical damage, storage conditions, fungal infection in the soil, and unfavourable seed bed moisture and temperatures. In general, there was a positive relationship between sowing rate and seed yield. Seed yield increases at higher sowing rates were mainly associated with the greater number of plants per unit area. There were fewer pods per plant at higher sowing rates, but there were more pods per unit area. Changing the sowing rate had little effect on mean seed weight and the number of seeds per pod. The economic optimum plant density varied from 8 to 68 plants/m2, depending on the location, but the mean (27�plants/m2) was within the range currently recommended in southern Australia (25–35 plants/m2). Due to the low establishment rates observed in this study, we estimate a sowing rate greater (160–185 kg/ha) than currently suggested (110–160 kg/ha) to achieve this density. There was a strong relationship between economic optimum plant density and seed yield potential (r2 = 0.66, P<0.01), which allows an estimation of the most profitable sowing rate, depending on the seed yield potential of the site. For most crops yielding about 1.0 t/ha in southern Australia, a plant density of 25 plants/m2 is most profitable, while in higher-yielding situations (>1.5 t/ha) plant densities >35�plants/m2 will produce the most profit.

scholarly journals Correlation and Path Coefficient Analysis of Seed Yield and Yield Components of French Bean (Phaseolus vulgaris L.) Genotypes in Sub-tropical Region

2020 ◽  
Vol 8 (9) ◽  
pp. 1928-1934
Author(s):  
Santosh Kalauni ◽  
Deependra Dhakal
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
French Bean ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. In this study, six French bean genotypes were used. The following measurements and observations were made: germination (%), pod length (cm), pod diameter (mm), individual pod weight and number of seeds pod-1 , number of dry pods plant-1, dry pod yield plant-1 and dry pod yield (t/ha), 100 seed weight (g) and seed yield (t/ha). Highly significant and positive correlation was recorded between seed yield and individual pod weight (r= 0.659***), number of seed pod-1 (r=0.548**) and pod length (0.459*). Conversely, pod diameter showed a negative and non-significant (-0.025) correlation on seed yield. Based on simple regression analysis, linear regression of individual pod weight, number of seed pod-1 and pod length leads to an increase in the seed yield (t/ha) by 0.188, 0.285 and 0.103 units respectively. From the path coefficient analysis maximum positive direct effect on seed yield was recorded by number of seeds pod-1 (0.767) followed by 100 seed weight (0.530) and individual pod weight (0.429). Also, stepwise multiple linear regression analysis revealed that three traits individual pod weight, 100 seed weight and number of dry pod plant-1 account for 68.22% of the total variation in seed yield, while only 31.78% was explained by rest of the variables. Summarizing outcomes of four statistical methods showed that individual pod weight appeared to be the most effective contributor of seed yield followed by the number of seed pod-1, 100 seed weight, and pod length. Therefore, focus should be laid on these characters in future breeding program while selecting genotypes for sub-tropics for improving the seed yield.

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.

scholarly journals Effects of Plant Density and the Application of Silica on Seed Yield and Yield Components of Rice (Oryza sativa L.)

2012 ◽  
Vol 4 (4) ◽  
Author(s):  
Esmaeil Yasari ◽  
Hossein Yazdpoor ◽  
Hamid Poor Kolhar ◽  
Hamid Reza Mobasser
Keyword(s):  
Oryza Sativa ◽  
Seed Yield ◽  
Yield Components ◽  
Plant Density ◽  
Oryza Sativa L ◽  
Yield And Yield Components
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