scholarly journals The Effect of Harvesting Stages and Locations on Seed Yield and its Components of Some Narbon Vetch (Vicia narbonensis) Lines under Rainfed Condition of Sulaimani Governorate- Iraq

2021 ◽  
Vol 33 (s1) ◽  
2018 ◽  
Vol 24 (2) ◽  
Author(s):  
VIMLESH KUMAR TIWARI

Performance of developed genotype RMT 08-2 was evaluated in central, eastern and north-eastern states of India under rain-fed condition for quantitative and qualitative traits. It gave highest seed yield over checks in zone III and V. Morphologically plants were erect, medium spreading in nature and primary branches with dichotomous habit. Plants height ranged from 107124 (cm) which matured in 82-112 days. Mature seeds were round in shape and blackish brown in colour. No significant difference between RVT-2 and checks were observed for test weight trait. An average oil yield 485 (kg/h) was recorded over 7 places which was 10% higher than both checks i.e. 14.12% and 11.24% under AICRP trials. Maximum seed yield was obtained on farmers field during 2013-14 and 2014-15 which was 1500 (kg/h) and 1215 (kg/h) that is 33.42% and 26.30% respectively over farmers own seeds. At Morena center, highest seed yield (1753 kg/h) over Bhawani (1512 kg/h) was 15.94% higher than check whereas RVT-2 gave 2245 (kg/h) against Bhawani (1975 kg/h) which was 13.67% higher. DNA finger printing indicated that primers PUT-19, PUT-96, PUT-149, PUT-169, PUT-181 and PUT-271 are useful in generating unique profile of RVT-2 containing 27 bands for its discrimination from other varieties.


2020 ◽  
Vol 5 (02) ◽  
pp. 203-207
Author(s):  
Mohan Vamsi D. ◽  
Sandhyasree G. ◽  
Meena H. P. ◽  
Payasi S. K.

The present investigation was carried out at the Research Fields, ICAR-Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad, Telangana, India. The material for present study consisted of twenty newly developed mono and multi headed restorer lines including CMS lines. The data for agronomic and yield traits i.e. days to 50% flowering, days to physiological maturity, plant height, head diameter, volume weight, 100 seed weight, seed yield per plant oil content and oil yield was recorded. The analysis of variance revealed significant differences among the genotypes for almost all characters which favour the selection. Associations among characters especially indicated that among the seven traits studied, seed yield per plant had a highly significant positive association with head diameter and significant negative correlation with days to 50% flowering and days to maturity. The genotypes, COSF-6B, COSF-7B, RGP-11-P1-S2, RGP-58-P4-S1-1 and RGP-46-P3 were identified as the most important genotypes for different traits and should be utilized in heterosis breeding programme to realize high heterosis for yield and yield contributing traits.


Author(s):  
Deepak Gupta ◽  
Suresh Muralia ◽  
N.K. Gupta ◽  
Sunita Gupta ◽  
M.L. Jakhar ◽  
...  

Background: Mungbean is a short duration grain legume widely grown in south and Southeast Asia. The extent of variability through Principal Component Analysis (PCA) and cluster analysis in promising mungbean genotypes should be known for possible yield improvement. A study was undertaken to work out the extent of variability among twenty four mungbean genotypes through cluster analysis and Principal Component Analysis (PCA). Methods: The experiment was laid out in a randomized block design with three replications during kharif 2018 and 2019 at the experimental field of Agricultural Research Station, Navgaon (Alwar) under rainfed condition. Result: Principal component analysis revealed that the first three main PCAs amounted 78.80% of the total variation among genotypes for different traits. Out of total principal components, PC1 accounts for maximum variability in the data with respect to succeeding components. Number of branches per plant (28.62%), number of clusters per plant (23.55%) and seed yield (15.58%) showed maximum per cent contribution towards total genetic divergence on pooled basis. Cluster analysis showed that genotypes fall into seven different clusters and their inter and intra cluster distance showed genetic diversity between different genotypes. The maximum number of genotypes i.e., 8 was found in cluster II followed by cluster III comprising of 6 genotypes. Genotypes RMG-1138 and IPM-02-03 representing the mono genotypic cluster signifies that it can be the most diverse variety and it would be the appropriate genotype for hybridization with ones present in other clusters to tailor the agriculturally important traits and ultimately to boost the seed yield in mungbean under rainfed conditions.


1970 ◽  
Vol 37 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Mevlüt Türk ◽  
Necmettin Çelik ◽  
Gamze Bayram ◽  
Emine Budakli

Results of correlation analysis indicated that seed yield in narbon bean (Vicia narbonensis L.) was correlated positively with harvest index, biological yield, weight, number of seed and number of pod per plant and also plant height and number of plant per m2. Path coefficient analyses revealed that harvest index and biological yield had higher positive direct effects on seed yield than other variables. Stepwise multiple regression analysis showed that 95.1% of total variation in seed yield could be explained by the variation in harvest index, biological yield and plant height. Results suggest that harvest index and biological yield are primary selection criteria for improving seed yield in narbon bean.   


Author(s):  
Kuldeep Singh ◽  
R. S. Manohar ◽  
Rakesh Choudhary ◽  
A. K. Yadav ◽  
A. Sangwan

The results of the study indicated the application of phosphorus upto 40 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> recorded significantly higher number of pods per plant, number of seeds per pod, number of total and effective root nodules, test weight, seed and straw yield, nitrogen, phosphorus and potassium content in seed and straw and their uptake, protein content in seed and net return as compared to absolute control and 20 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> but was at par with 60 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup>. Application of different sources of phosphorus led to significant effect on seed yield. PROM (Phosphorus Rich Organic Manure) (8.36) was significantly superior in increasing the seed yield by 17.74 and 12.21 per cent, respectively, as compared to DAP (7.10) and SSP (7.45). However, both DAP and SSP being at par with each other. Application of phosphorus @ 40 (7.98) and 60 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> (8.44) significantly increased the seed yield by 22.95 and 30.04 per cent, respectively as compared to 20 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> (6.49). However, both 40 and 60 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> were at par with each other in increasing seed yield. The highest net return (Rs. 14865) was obtained with application of 40 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> over absolute control and 20 kg P<sub>2</sub>O<sub>5</sub> ha<sup>−1</sup> and phosphorus fertilization with PROMfetched the highest net return (Rs. 14736 ha<sup>−1</sup>) which was significantly higher over DAP and SSP.


1999 ◽  
Vol 2 (2) ◽  
pp. 347-349 ◽  
Author(s):  
Rahmat Ullah Khan . ◽  
Abdul Rashid . ◽  
Ahmad Khan .

Biologija ◽  
2018 ◽  
Vol 64 (3) ◽  
Author(s):  
Mostafa Fattahi ◽  
Mohsen Janmohammadi ◽  
Shahriar Dashti ◽  
Mojtaba Nouraein ◽  
Naser Sabaghnia

Beneficial nanoparticles are at the leading edge of the rapidly developing field of nanotechnology. Nanotechnology applied to nanofertilizers could play a fundamental role in improving the availability of plant nutrients under unfavourable environmental conditions. To evaluate the effects of different levels of nitrogen fertilizer (0, 75, and 150 kg ha–1) and nanostructured micronutrients (Zn, Fe, Cu) on the seed yield of spring safflower, a study was carried out in the highland region of Baneh, Iran. Specific objectives were to assess the effects of combined application of nano-chelated micronutrients and nitrogen on safflower under rainfed conditions. Assessments of morphological traits revealed that application of nitrogen at the rate of 75 kg ha–1 significantly increased the plant height, canopy spread, stem diameter, and plant dry weight. Also, ground cover, canopy spread, capitulum diameter, and the number of the secondary branches were considerably affected by nano-chelated micronutrients, so the highest values were observed in the plants grown with the application of zinc and copper. Results showed that the effects of interaction of nitrogen and micronutrients were significant for the biological yield, seed number, 1000-seed weight, the percentage of unfilled seeds, and seed yield. A comparison of combined treatments showed that the best performance was recorded for plants grown with the application of N0-Zn, N75-Zn, and N150-Cu. The results of the present experiment agreed with the conclusion that utilization of nitrogen may affect the efficiency of micronutrients. Altogether, the results suggested that the application of intermediate levels of nitrogen fertilizers along with nano-chelated Zn can improve safflower production under rainfed condition.


1996 ◽  
Vol 36 (1) ◽  
pp. 53 ◽  
Author(s):  
KHM Siddique ◽  
SP Loss ◽  
D Enneking

The phenology, growth, seed yield and yield components of a number of introduced narbon bean (Vicia narbonensis L.) accessions and F9 breeding lines were compared with faba bean (Vicia faba L. cv. Fiord) or field pea (Pisum sativum L. cv. Dundale) at 3 sites in 2 seasons. All narbon bean accessions had slow development, for example all accessions reached 50% flowering 9-35 days later than faba bean or field pea depending on the accession, site and season. Dry matter production near flowering ranged from 1.0 to 2.3 tlha and the growth of the best accessions was comparable with faba bean. In general, the accession ATC 60114 collected in the Beka'a Valley, Lebanon, produced the greatest seed yield across the sites and seasons (on average 1.52 t/ha). In 1993, the best narbon bean accession produced seed yields that ranged from 59% of the faba bean seed yield at the wettest site to 121% at the driest site. In the following year, one of the driest in decades, 6 accessions produced seed yields of more than 1.0 t/ha, similar to field pea. Seed yield was negatively correlated with days to flowering, podding and maturity, suggesting that yield could be improved by selecting for more rapid development. Most accessions retained the majority of their leaves at maturity, but showed some degree of pod shattering and a moderate level of lodging at maturity. Genotypic variation in all these characters was evident. Further selection and breeding, together with appropriate agronomic packages will improve the adaptation of narbon bean to mediterranean-type environments of southern Australia. However, the adoption of narbon bean in Australian agriculture will depend on its marketability and acceptance by the stockfeed industry, and its on-farm utility.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 944
Author(s):  
Rajesh N L ◽  
Narayana Rao K ◽  
Sathishkumar U ◽  
Wali V B ◽  
Basavaraj K ◽  
...  

Aims: The aim of the study was to reveal the variability in soil properties influencing pigeonpea (Cajanus cajana L.) seed yield under semi-arid rainfed condition. Methods: Soils were initially classified into series level and further these series were divided into soil-phase units. For two site years viz., 2018-19 and 2019-20, surface soil samples from each soil-phase unit were collected before sowing of pigeonpea and subsequently crop growth parameters at critical stages were recorded. Results: The principal component analysis with varimax rotation resulted in seven components for both the site years, having eigenvalues greater than one, explained more than 80% of the variability. The step wise linear regression analysis showed that the pigeonpea seed yield was linearly correlated with PC3 (p<0.01), PC4 (p<0.01) and PC7 (p<0.05) of soil properties with R2 = 0.679, during 2018-19. Whereas, during 2019-20, the seed yield was linearly correlated with PC1 (p<0.01), PC3 (p<0.01) and PC6 (p<0.05) with R2 = 0.677. In site year 1, the available P2O5, Fe, Zn, S, Cu, number of pods, surface soil moisture determined the yield. In site year 2, the available K2O, P2O5, Fe, Zn, S, clay, CEC and available water content determined the yield. All these variables together explain variability in yield.


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