scholarly journals Assessment of genetic diversity in germplasm of Guinea grass (Panicum maximum Jacq.)

Author(s):  
P. Ramakrishnan ◽  
C. Babu ◽  
K. Iyanar ◽  
N. Manivannan

In the present study, sixty genotypes of Guinea grass were evaluated for assessing genetic diversity for ten different quantitative characters for exploitation in a breeding programme aimed at improving yield potential of Guinea grass by using Mahalanobis D2 statistics. The genotypes were grouped into ten clusters suggesting the presence of genetic diversity. The cluster I had maximum of 30 genotypes followed by II and III having 15 and 7 genotypes, respectively. These clusters having maximum number of genotypes, reflecting narrow genetic diversity. The inter cluster distances were greater than intra cluster distances, revealing that the selected genotypes were highly divergent. The maximum intra cluster distance was recorded for cluster III (5.63) while clusters IV, V, VI, VII and VIII and X (0.00) were solitary and showed no intra-cluster distance values. The genetically more divergent genotypes present in cluster III and IX as indicated by inter cluster distance value (21.63). Cluster VIII and Cluster V had least number of single genotype and emerged with contained highest cluster mean value for number of tillers/plant, number of leaves/plant, good leaf weight, leaf: stem ratio, green fodder yield/plant and crude protein content. Hence, GGLC 12 genotype in cluster VIII and GGLC 19 in cluster V can be successfully utilized in breeding programme for development of Guinea grass varieties with improved fodder yield and quality.

2020 ◽  
Vol 23 (2) ◽  
pp. 59-64
Author(s):  
F Akter ◽  
MZ Islam ◽  
A Akter ◽  
SK Debsharma ◽  
A Shama ◽  
...  

Genetic diversity of 65 rice genotypes was studied from IRBBN (International Rice Bacterial Blight Nursery) of INGER (International Network for Genetic Evaluation of Rice) materials through Mahalanobis D2 statistic for grain yield and yield contributing characters. The genotypes were grouped into five clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the clusters. The cluster III contained the highest number of genotypes (23) and the clusterv contained the lowest (8). The highest intra-cluster distance was noticed for the cluster I and lowest for cluster III. The highest inter-cluster distance was observed between cluster I and V, followed by cluster IV and V, cluster II andV and the lowest between cluster I and IV. Regarding inter-cluster distance, the genotypes of cluster V showed high genetic distance from all other clusters. The genotypes from cluster V could be hybridized with the genotypes of other clusters for producing transgressive segregants. Based on canonical vector analysis, panicle number per plant had maximum contribution towards genetic divergence. The highest cluster means for yield, grain/panicle and spikelet fertility were obtained from cluster V. The highest means for 1000 grain weight, second higher yield and the lowest growth duration were found in cluster II, while the lowest mean value for yield and 1000 grain weight and higher mean value for growth duration were found in cluster IV. The crosses between the genotypes/parents of cluster V and cluster II, cluster V and cluster I would exhibit high heterosis as well as higher level of yield potential. Therefore, more emphasis should be given for selection of the genotypes from clusters II and V for future breeding programme. Bangladesh Rice j. 2019, 23(2): 59-64


1960 ◽  
Vol 55 (3) ◽  
pp. 339-350 ◽  
Author(s):  
V. A. Oyenuga

1. The effects of the stage of growth and frequency of cutting on the yield and chemical composition of Panicum maximum Jacq., under the tropical humid conditions prevailing in Ibadan area were studied in the season 1953 to 1954. The cutting frequencies adopted were seventeen, eight, six and four times harvesting a year which corresponded respectively to a growing period of 3, 6, 8 and 12 weeks before the plants were cut.2. It was shown that Guinea grass gave the highest growth rate and cumulative green fodder yield (approximately 28 tons per acre) per year when allowed a 12-weekly growth cycle. Cutting the grass every 3 weeks gave a total minimum yield of 20 tons per acre. 6-weekly samplings resulted in higher green fodder yield than cutting it every 8 weeks. Such yield differences which exist among the various cutting treatments, however, are not statistically significant. When yields of edible (leafy) green fodder were considered, the order of superiority was 3-weekly > 6-weekly > 12-weekly > 8-weekly.It was shown that the increased yield of green and dry fodder obtained from the 12-weekly cut grass was made up of both fresh regrowth as well as of grasses which had been growing for 12 weeks.3. P. maximum contains a fairly high percentage of dry matter and this increased directly with the length of cutting intervals. Dry-matter yields, like those of green fodder, were highest for the 12-weekly harvested material, followed in order by the 6-weekly cut, the 8-weekly cut and the 3-weekly cut samples. However, the production of leaves and the accumulation of dry matter in them, are inversely related to the length of growing interval up to and including grasses allowed 8-weekly growing periods.4. The stems of P. maximum tend to mature more rapidly than the leaves, particularly at a growing stage of between 3 and 6 weeks of age. At between the 8 and 12 week growth stages, the development of the stem of P. maximum in relation to that of its leaves was not as rapid as observed in the case of either P. purpureum or of Andropogon tectorum.5. The percentage dry matter, nitrogen-free extract, ether extract and calcium are directly related, while those of crude protein, silica-free ash, phosphorus and magnesium, are inversely related to the length of cutting intervals. It was also shown that the mean percentage crude protein of Guinea grass of about 12 at 3 weeks of growth, declined by 45% to 6·4 when the grass was cut every 12 weeks. The grass contains a high amount of magnesium, a reasonably high amount of calcium, but a somewhat low content of phosphorus, a fact which accounts for the wide calcium to phosphorus ratio. This ratio widened with the length of cutting intervals.6. When Panicum maximum was cut at 3 -weekly intervals, it produced 69·3% more protein, 58·5% more silica-free ash, 32·3% more calcium, 49·6% more phosphoric acid, 71% more magnesium and higher amounts of carbohydrate and total nutrient material than when it was allowed to grow for 8 weeks. Similarly when the grass was allowed a 12-weekly growth cycle, it produced 35% more of total nutrient, 36·5% more of carbohydrate material and 62·2% more of calcium than when it was sampled every 8 weeks. It appears totally unprofitable from the point of view of yield of chemical constituents to subject P. maximum to a growth cycle of 8 weeks.7. Yields of green and dry matter and the percentage crude protein, silica-free ash, and nitrogen-free extract are directly related to the degree of precipitation. In general periods of high rainfall were accompanied by higher yields and percentage content of these constituents, while periods of low rainfall gave rise to smaller yields. The percentage content of crude fibre, on the other hand, was inversely related to rainfall.


2014 ◽  
Vol 12 (1) ◽  
pp. 26-32 ◽  
Author(s):  
MZ Islam ◽  
MA Siddique ◽  
ESMH Rashid ◽  
MS Ahmed ◽  
M Khalequzzaman

Genetic diversity of 40 traditional Bangladeshi rice genotypes was studied under rainfed condition through Mahalanobis D2 statistic for grain yield and yield contributing characters. The genotypes were grouped into six clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the clusters. The cluster VI contained the highest number of genotypes (18) and the clusters I and II contained the lowest (1). The highest intra-cluster distance was noticed for the cluster IV and lowest for cluster VI. The highest inter-cluster distance was observed between cluster I and IV, followed by cluster I and II, cluster I and III and the lowest between cluster III and IV. Regarding inter-cluster distance, the genotypes of cluster IV showed high genetic distance from all other clusters. The genotypes from cluster IV could be hybridized with the genotypes of other clusters for producing transgressive segregants. Based on canonical vector analysis, panicle number per plant and 1000 grain weight had maximum contribution towards genetic divergence. The highest cluster means for yield, filled grains panicle-1 and grain breadth were obtained from cluster VI. The highest means for plant height, flag leaf area, unfilled grains panicle-1, harvest index and the lowest growth duration were found in cluster I, while the lowest mean value for yield, grain length, 1000 grain weight, plant height and highest mean value for days to flowering and maturity were found in cluster II. The crosses between the genotypes/parents of cluster VI and cluster II, cluster VI and cluster V would exhibit high heterosis as well as higher level of yield potential. Therefore, more emphasis should be given for selection of the genotypes from clusters I, VI and V for future breeding program.  DOI: http://dx.doi.org/10.3329/agric.v12i1.19576The Agriculturists 2014; 12(1) 26-32


2018 ◽  
Vol 5 (04) ◽  
Author(s):  
ANAND KUMAR ◽  
SADIA PERWEEN ◽  
MANOJ KUMAR ◽  
SANJEEV KUMAR ◽  
SATYENDRA . ◽  
...  

Forty genotypes of chickpea were evaluated for assessing genetic divergence for different quantitative characters for improving yield potential of chickpea by using Mahalanobis D2 statistics. The genotypes were grouped into seven clusters suggesting considerable amount of genetic diversity in the material. The intra-cluster D2 value ranged from 0.00 to 9.06 while, intercluster D2 value ranged from 4.07 to 55.71. The maximum intra cluster distance was exhibited by cluster V followed by cluster II and cluster I. Cluster III had mono- genotype and emerged with contained highest cluster mean value grain yield per plot. Cluster II has highest mean value for number of pods per plant and lowest mean value for days to 50% flowering, days to maturity and plant height. Maximum contribution toward the total divergence was exhibited by 100-seed weight followed by number of pods per plant and minimum by days to maturity. Cluster IV and VI showing maximum inter cluster distance and crossing of genotypes Sabour chana-1 (BRC-1), GCP 105, PBC 503, DC 16-2, NBeG 776, RVSSG 42, G2016-43, GL 14042, IPC 2013-21, GNG 2338, GNG 2375 and KWR 108 from cluster VI suggested for improving grain yield per plot, 100-seed weight and earliness in flowering and ultimately enhancing the yield and chances of getting better recombinants in segregating generations.


2013 ◽  
Vol 37 (4) ◽  
pp. 617-624 ◽  
Author(s):  
MJ Hasan ◽  
Umma Kulsum ◽  
MMH Rahman ◽  
MMH Chowdhury ◽  
AZMKA Chowdhury

Genetic divergence of 40 parental lines comprising 30 restorer and 10 maintainer lines were studied through Mohalanobis's D2 and principal component analysis for eleven characters. Genotypes were grouped into five different clusters. Cluster V comprised maximum number of genotypes (thirteen) followed by cluster I and II. The inter-cluster distance was maximum between clusters I and V (13.495) indicating wide genetic diversity between these two clusters followed by the distance between cluster I and 11 (9.489), cluster IV, and cluster V (8.969) and cluster I and cluster III (8.039). The minimum inter-cluster distance was observed between cluster II and cluster III (3.034) followed by cluster 111 and cluster IV (3.834) and cluster II and cluster V (4.945) indicating that the genotypes of these clusters were genetically close. The intra cluster distance in the entire five clusters was more or less low which indicated that the genotypes within the same cluster were closely related. Among the characters panicle weight contributed most for divergence in the studied parental lines. Difference in cluster means existed for almost all the characters studied. Highest mean value for number of effective tillers (7.8), days to 50% flowering (95.5), panicles/m2 (192.6), panicle weight (2.9), spikelet fertility (84.8), number of grains/panicle (177.8), days to maturity (123.6), and grain yield/plot (1065.5) were observed in cluster I indicated the parental lines fallen in this cluster having the genetic potentiality to contribute better for yield maximization of hybrid rice. DOI: http://dx.doi.org/10.3329/bjar.v37i4.14386 Bangladesh J. Agril. Res. 37(4): 617-624, December 2012


2002 ◽  
Vol 1 (4) ◽  
pp. 326-327 ◽  
Author(s):  
Muhammad Naeem ◽  
Muhammad Shahid Muni . ◽  
Ahmad Hasan Khan . ◽  
Sultan Salahuddin .

2012 ◽  
Vol 37 (1) ◽  
pp. 129-136
Author(s):  
MA Syed ◽  
MR Islam ◽  
MS Hossain ◽  
MM Alam ◽  
MN Amin

Genetic diversity of 27 chickpea genotypes was studied through Mahalanobis D2 and Principal Component analysis. The genotypes under study fall into five clusters. The cluster II contained the highest number of genotypes (11) and Cluster I contained the lowest. Cluster I produced the highest mean value for number of pods per plant. The inter cluster distances were much higher than the intra cluster distances. Cluster V exhibited the highest intra cluster distance while the lowest distance was observed in cluster I. The highest inter cluster distance was observed between cluster I and II while the lowest was between cluster III and V. Considering all the characters, it was suggested that the genotypes BD6549, BD6603, and BD6548 could used as parents for future breeding programs to develop high yielding varieties of chickpea. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11184 Bangladesh J. Agril. Res. 37(1): 129-136, March 2012  


Author(s):  
Sanjeev Kumar ◽  
Praveen Singh ◽  
Magdeshwar Sharma

Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. The inter-cluster distances were much higher than the intra-cluster distances. Cluster-V exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with higher seed yield per plant.


Author(s):  
MY Kabir ◽  
ASMMR Khan ◽  
MS Hassain

The experiment was conducted at the Regional Agricultural Research Station, Ishurdi, Pabna during the growing season 2005-2006 to estimate the genetic diversity among 24 genotypes of pointed gourd by using Mahalanobis D² statistics for nine characters. The genotypes were grouped in to five clusters. The cluster I and III consisted of highest number of genotypes and it was six. The cluster IV contained the lowest number of genotypes and it was three. The clustering pattern of the genotypes under this study revealed that the genotypes collected from the same location were grouped into different clusters. The genotypes of Kushtia were distributed in different clusters. The inter cluster distance were larger than the intra cluster distance suggesting wider genetic diversity among the genotypes of different groups. The highest intra cluster distance was computed for cluster IV (35.80) and the minimum intra cluster distance was found in cluster III (18.37). The clusters IV and II were more diverse as indicated by maximum inter cluster distances between them (41.56) and the minimum inter cluster divergence was observed between cluster III and II (6.84). Cluster II had the highest cluster mean value for number of fruits per plant (391), weight of fruit per plant (11.72kg) and yield (35.28t/ha). Genotypes of the cluster V had late maturity. Key words: Genotype; genetic diversity; pointed gourd. DOI: 10.3329/jard.v7i1.4426 J Agric Rural Dev 7(1&2), 87-92, June 2009


Author(s):  
Zahida Rashid ◽  
Tanveer Ahmad Ahngar ◽  
B. Sabiya ◽  
N. Sabina ◽  
N. S. Khuroo ◽  
...  

A field experiment was conducted at Dry land Agricultural Research Station, Rangreth, Srinagar, SKUAST-K in Kharif 2020 to study the effect of Plant Growth Regulators and micronutrients on growth, yield and quality of sorghum. The objective of the study was to assess the effect of Plant Growth Regulators and micronutrients on herbage yield and quality. The treatments included; T1: Tricontanol 10 ppm at 30 DAS (foliar spray), T2: Salicylic acid 100 ppm at 30 DAS (foliar spray), T3: 5 kg Zn/ha soil application, T4: 2 kg B/ha soil application, T5: 5 kg Zn + 2 kg B/ha soil application, T6: 5 kg Zn/ha (soil application ) + Triacontanol 10 ppm at 30 DAS (foliar spray), T7: 5 kg Zn/ha (soil application) + salicylic acid 100 ppm at 30 DAS (foliar spray), T8: 2 kg B/ha (soil application) + Triacontanol 10 ppm at 30 DAS (foliar spray), T9: 2 kg B/ha (soil application )+ salicylic acid 100 ppm at 30 DAS (foliar spray), T10: 5 kg Zn + 2 kg B/ha (soil application) + Triacontanol 10 ppm at 30 DAS (foliar spray), T11: 5 kg Zn + 2 kg B/ha (soil application) + salicylic acid 100 ppm at 30 DAS (foliar spray) and T12: Water spray at the time of PGR application. Zn and B were applied at the time of sowing in the soil. The crop was raised with recommended package of practices. In treatments, where zinc was not a treatment, an amount of sulphur through gypsum equivalent to sulphate supplied with 5 kg ZnSO4 was applied to compensate. The crop was sown in 30.0 cm apart lines. The trial was laid out in Randomized Block Design with three replications. The results indicated that all the treatments improved the green fodder yield over control. Among different treatments, T10: 5 kg Zn + 2 kg B/ha soil application + Triacontanol 10 ppm at 30 DAS foliar spray and T11: 5 kg Zn + 2 kg B/ha soil application + salicylic acid 100 ppm at 30 DAS foliar spray produced maximum GFY (493.6 and 490.5q/ha) on locational mean basis. It was significantly superior to other treatments. These treatments improved the green fodder yields by 35.0 % and 34.2 %, respectively, over control (spray of water). In terms of dry matter, similar trend was noted and the improvement with T10 and T11 was to the tune of 36.8 % and 41.0 % over control. Tricontanol 10 ppm at 30 DAS (foliar spray) (T1) improved the green fodder yield and dry fodder yield by 13.6% and 14.3 % respectively over T12Water spray at the time of Plant Growth Regulator application. Similarly spray of T2: Salicylic acid 100 ppm at 30 DAS (foliar spray) improved the green fodder yield and dry fodder yield by 14.4% and 15.4% respectively over T12Water spray at the time of Plant Growth Regulator application. Similar trend was observed with respect to quality parameters (crude protein content and crude protein yield) of sorghum.


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