scholarly journals Wheat Varietal Investigation for the Hill Region of Nepal

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Deepak Pandey ◽  
Nutan Raj Gautam ◽  
Khem Raj Pant ◽  
Dhruba Bahadur Thapa
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Thousand Grain Weight ◽  
Wheat Genotypes ◽  
Agricultural Research Council ◽  
Hill Region ◽  
Days To Heading ◽  
Significant Difference ◽  
The Hill ◽  
Planting Season

Multilocation testing of the Coordinated Varietal Trial (CVT) of wheat genotypes were conducted at different hill research stations of Nepal Agricultural Research Council (NARC) during the normal planting season of 2012/13 and 2013/14. Twenty genotypes including two check varieties were included in Randomized Complete Block (RCB) design with three replications in the experiment. Data on the different yield attributing traits were recorded.  Highly significant difference (p<0.01) among the genotypes for the days to heading, days to maturity, plant height, thousand grain weight and grain yield was observed in 2012/13. Wheat genotype BL 4061 had the highest grain yield with 3802 kg/ha followed by NL 1153 (3736 kg/ha), NL 1159 (3733 kg/ha), NL 1154 (3674 kg/ha) and NL 1156 (3462 kg/ha). In 2013/14 also a highly significant difference among the tested genotypes for all the recorded traits was observed and these genotypes were stable for the yield and yield attributing traits. The most promising genotypes for the grain yield was NL 1153 (5816 kg/ha) followed by NL 1178 (5760 kg/ha), NL 1156 (5454 kg/ha), NL 1159 (5259 kg/ha) and NL 1179 (5075 kg/ha). From the yield and other yield attributing trait wheat genotypes NL 1055, NL 1153, NL 1159, NL 1156 and NL 1179 need to be tested under farmers’ field for further confirmation and release as variety.

scholarly journals Evaluation of bread wheat genotypes under rain-fed conditions in Terai districts of Nepal

2021 ◽  
Vol 4 (2) ◽  
pp. 303-315
Author(s):  
Deepak Pandey ◽  
Khem Raj Pant ◽  
Biswas Raj Bastola ◽  
Rabin Giri ◽  
Suman Bohara ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Agricultural Research ◽  
Kernel Weight ◽  
Lattice Design ◽  
Agricultural Research Council ◽  
Days To Heading ◽  
Significant Difference ◽  
Days To Maturity ◽  
High Yielding Varieties

Thirty four percent of the total wheat cultivated area is under rain-fed condition in Nepal and that of the Terai is nineteen percent. The objective of this study was to develop drought tolerant and high yielding varieties of wheat for timely sown rain-fed environments. Coordinated Varietal trial (CVT) was carried out in normal wheat growing season during 2016/17 and 2017/18. The research was conducted at five locations (Rampur, Bhairahawa, Doti, Jitpur and Nepalgunj) of five research stations of Nepal Agricultural Research Council (NARC) throughout the Terai region in alpha lattice design with two replications. Data on different yield attributing traits were recorded. In the CVT-TTL 2016/17 highly significant difference (p<0.01) among the genotypes was found for days to heading, days to maturity, plant height, number of grains per spike and thousand kernel weight and significant difference (p<0.05) for grain yield. The highest grain yield was observed in NL 1326 (2954 kg/ha) which was followed by NL 1327 (2819 kg/ha), NL 1211 (2719 kg/ha), NL1202 (2683 kg/ha), BL 4707 (2654 kg/ha) and BL 4708 (2652 kg/ha).  Similarly, in CVT-TTL 2017/18, highly significant difference (p<0.01) among the genotypes was observed for the days to heading, days to maturity and plant height and non-significant different for number of grains per spike, grain yield and TGW.  However, Genotype by Environment (G x E) was found highly significant (p<0.01) for the days to heading, plant height, grain yield and TGW and significant different (p<0.05) for number of grains per spike. The highest grain yield was obtained in NL1322 (2305 kg/ha) which was followed by NL1369 (2287 kg/ha), NL 1202 (2205 kg/ha), BL 4708 (2197 kg/ha) and BL 4820 (2118 kg/ha). Among these tested genotypes BL 4708, NL 1202, NL 1211, NL 1307, NL 1327 and NL 1369 are recommended for the coordinated farmer's field trial for further verification and release as variety.

scholarly journals Participatory on-farm evaluation of wheat genotypes

2019 ◽  
Vol 2 (1) ◽  
pp. 312-321
Author(s):  
Deepak Pandey ◽  
Hemant Kumar Chaudhari ◽  
Shesh Raman Upadhyay ◽  
Nutan Raj Gautam ◽  
Bhakti Ram Ghimire ◽  
...  
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Development Programs ◽  
Wheat Genotype ◽  
Improvement Program ◽  
Wheat Genotypes ◽  
Agricultural Research Council ◽  
Geographical Regions ◽  
Check Variety

In wheat development programs, the evaluation and identification of superior genotypes  is the first and leading step in a crop improvement program. Coordinated Farmer’s Field Trial (CFFT) was conducted during the three successive wheat growing season of 2010/11, 2011/12 and 2012/13. In CFFT six different wheat genotypes were planted in different outreach sites of research stations of Nepal Agricultural Research Council (NARC) at varying geographical regions. CFFT was conducted according to standard recommended practices of wheat at farmers’ field with different sets of genotypes for Terai and hill. In CFFT for Terai Tar and Lower valley (TTL) under timely sown irrigated (TSI) condition wheat genotype NL 1073 produced the grain yield of 3695 kg/ha and under the timely sown rainfed (TSR) that was 2738 kg/ha in 2010/11. In 2011/12, wheat genotype NL 1073 had the highest recorded grain yield of 3691 kg/ha in mid western region which was followed by check variety Vijay in CFFT-TTL in 2011/12 in the same region. Similarly in 2012/13, check variety Vijay showed the highest grain yield of 3818 kg/ha and 3044 kg/ha followed by NL 1094 (2938 kg/ha and 3468 kg/ha) in TSR and TSI environments, respectively. In CFFT for Mid and High Hill (MHH) WK 1204 had the highest grain yield of 3967 kg/ha in TSI which was followed by NL 1008 with the yield of 3890 in 2010/11. In 2011/12 the highest mean grain yield was observed in WK 1204 (4242 kg/ha) followed by BL 3872 (3922 kg/ha). Similarly, in 2012/13 NL 1008 was the best genotypes on the basis of grain yield (3297 kg/ha) followed by NL 1055 (3131 kg/ha) under CFFT-MHH.

scholarly journals Evaluation of Wheat Genotypes in Far Western Hills of Nepal

2015 ◽  
Vol 3 (3) ◽  
pp. 417-422
Author(s):  
Hari Kumar Prasai ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
River Basin ◽  
Treatment Effect ◽  
Agricultural Research ◽  
Research Station ◽  
Combined Analysis ◽  
Wheat Genotypes ◽  
Yield Trial ◽  
The Difference ◽  
Year 2013

Coordinated Varietal Trial (CVT) and Advanced Varietal Trial (AVT) of wheat were conducted at Regional Agricultural Research Station,Doti during the year 2012 and 2013. Microplot Yield Trial (MPYT) were conducted during the year 2013. Total 20 genotypes were includedin CVT experiment of both years. Although the difference in grain yield due to genotypes was not found significant during the year 2012, NL1144 recorded the highest grain yield (4309 kg/ha) followed by NL 1140 (4295 kg/ha) and NL 1147 (4165 kg/ha) respectively. But in the year2013, NL 1097 produced the highest grain yield (4641 kg/ha) followed by NL 1135 (4383 kg/ha) and NL 1164 (4283 kg/ha) respectively.Statistically, the difference in grain yield due to genotypes was not found significant in the year 2013. Combined analysis over years was alsocarried out. Out of 20, only 10 genotypes were included in the CVT experiment, which were found similar in both years. Genotypes NL 1097(4079 kg/ha), NL 1140 (3814 kg/ha) and NL 1093 (3773 kg/ha) were found high yielding genotypes for river basin agro-environment of farwestern hills. Statistically, effect of year in tested characters was found significant whereas treatment effect was observed non-significant.Similarly, 20 genotypes of wheat were included in AVT of wheat during the year 2012 and 2013. Out of the genotypes included in AVT duringthe year 2012, KISKADEE No.1recorded the highest grain yield (3824 kg/ha) followed by CHEWINK No. 1 (3643 kg/ha) and WK 2120 (3583kg/ha). Statistically all the tested characters except grain yield were found significantly different due to genotypes. But in the same experimentof the year 2013, WK 2412 genotype recorded the highest grain yield (4407 kg/ha) followed by WK 2411 (4329 kg/ha) and Munal-1 (4054kg/ha). Statistically the difference in grain yield and other tested characters were found significantly different. Due to dissimilarity in the testedgenotypes we could not carry-out the combined analysis over years. Total 30 genotypes were included in the MPYT experiment of the year2013. Genotype WK 2272 recorded the highest grain yield (6080 kg/ha) followed by the genotypes WK 2274 (5152 kg/ha) and WK 2278(4480 kg/ha) respectively. Statistically, the difference in grain yield and other tested characters were found significantly different due togenotypes.Int J Appl Sci Biotechnol, Vol 3(3): 417-422

scholarly journals Evaluation of agronomic traits and assessment of genetic variability in some popular wheat genotypes cultivated in Saudi Arabia

2019 ◽  
pp. 847-856 ◽  
Author(s):  
Soleman M. Al-Otayk
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Plant Height ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Kernel Weight ◽  
Wheat Genotypes ◽  
Days To Heading ◽  
Days To Maturity

The present study was carried out to evaluate agronomic traits and assessment of genetic variability of some wheat genotypes at Qassim region, Saudi Arabia', during 2010/11 and2011/12 seasons. Fourteen wheat genotypes including five bread wheat and nine durum wheat genotypes were evaluated in randomized complete block design with three replications. The genotypes were evaluated for ten different yield contributing characters viz., days to heading, days to maturity, grain filling period, grain filling rate, plant height, number of spikes m-2, kernels spike-1, 1000-kernel weight, grain yield and straw yield. The combined analysis of variance indicated the presence of significant differences between years for most characters. The genotypes exhibited significant variation for all the characters studied indicating considerable amount of variation among genotypes for each character. Maximum coefficient of variation was observed for number of spikes m-2 (17%), while minimum value was found for days to maturity. Four genotypes produced maximum grain yield and statistically similar, out of them two bread wheat genotypes (AC-3 and SD12) and the other two were durum wheat (AC-5 and BS-1). The genotypes AC-3, AC-5 and BS-1 had higher grain yield and stable in performance across seasons. The estimation of phenotypic coefficient of variation in all the traits studied was greater than those of the genotypic coefficient of variation. High heritability estimates (> 0.5) were observed for days to heading, days to maturity, and plant height, while the other characters recorded low to moderate heritability. The high GA % for plant height and days to heading (day) was accompanied by high heritability estimates, which indicated that heritability is mainly due to genetic variance. Comparatively high expected genetic advances were observed for grain yield components such as number of kernels spike-1 and 1000-kernel weight. Grain yield had the low heritability estimate with a relatively intermediate value for expected genetic advance. The results of principle component analysis (PCA) indicated that the superior durum wheat genotypes for grain yield in the two seasons (AC-5 and BS-1) are clustered in group II (Fig. 2). Also, the superior two bread wheat genotypes (AC-3 and SD12) were in group I. Therefore, it could be future breeding program to develop new high yielding genotypes in bread and durum wheat.

scholarly journals Genetic variations, heritability, heat tolerance indices and correlations studies for traits of bread wheat genotypes under high temperature

2019 ◽  
Vol 11 (5) ◽  
pp. 672-686
Author(s):  
Elfadil Mohamed Elbashier ◽  
Elfadil Mohammed Eltayeb Elbashier ◽  
Siddig Esa Idris2 ◽  
Wuletaw Tadesse ◽  
Izzat S.A. Tahir ◽  
...  
Keyword(s):  
Heat Stress ◽  
High Temperature ◽  
Grain Yield ◽  
Bread Wheat ◽  
Heat Tolerance ◽  
Agricultural Research ◽  
Canopy Temperature ◽  
Content Type ◽  
Wheat Genotypes ◽  
Tolerance Indices

PurposeThe purpose of this paper was to study the genetic variability, heritability, heat tolerance indices and phenotypic and genotypic correlation studies for traits of 250 elite International Center for Agricultural Research in the Dry Areas (ICARDA) bread wheat genotypes under high temperature in Wad Medani, Center in Sudan.Design/methodology/approachBread wheat is an important food on a global level and is used in the form of different products. High temperature associated with climate change is considered to be a detrimental stress in the future on world wheat production. A total of 10,250 bread wheat genotypes selected from different advanced yield trials introduction from ICARDA and three checks including were grown in two sowing dates (SODs) (1st and 2nd) 1st SOD heat stress and 2nd SOD non-stress at the Gezira Research Farm, of the Agricultural Research Corporation, Wad Medani, Sudan.FindingsAn alpha lattice design with two replications was used to assess the presence of phenotypic and genotypic variations of different traits, indices for heat stress and heat tolerance for 20 top genotypes and phenotypic and genotypic correlations. Analysis of variance revealed significant differences among genotypes for all the characters. A wide range, 944-4,016 kg/ha in the first SOD and 1,192-5,120 kg/ha in the second SOD, was found in grain yield. The average yield on the first SOD is less than that of the secondnd SOD by 717.7 kg/ha, as the maximum and minimum temperatures were reduced by 3ºC each in the second SOD when compared to the first SOD of the critical stage of crop growth shown.Research limitations/implicationsSimilar wide ranges were found in all morpho-physiological traits studied. High heritability in a broad sense was estimated for days to heading and maturity. Moderate heritability estimates found for grain yield ranged from 44 to 63.6 per cent, biomass ranged from 37.8 to 49.1 per cent and canopy temperature (CT) after heading ranged from 44.2 to 48 per cent for the first and secondnd SODs. The top 20 genotypes are better than the better check in the two sowing dates and seven genotypes (248, 139, 143, 27, 67, 192 and 152) were produced high grain yield under both 1st SOD and 2nd SOD.Practical implicationsThe same genotypes in addition to Imam (check) showed smaller tolerance (TOL) values, indicating that these genotypes had a smaller yield reduction under heat-stressed conditions and that they showed a higher heat stress susceptibility index (SSI). A smaller TOL and a higher SSI are favored. Both phenotypic and genotypic correlations of grain yield were positively and significantly correlated with biomass, harvest index, number of spikes/m2, number of seeds/spike and days to heading and maturity in both SODs and negatively and significantly correlated with canopy temperature before and after heading in both SODs.Originality/valueGenetic variations, heritability, heat tolerance indices and correlation studies for traits of bread wheat genotypes under high temperature

Effect of plant density and detopping following silking on cob growth, fodder and grain yield of maize (Zea mays)

1992 ◽  
Vol 119 (3) ◽  
pp. 297-301 ◽  
Author(s):  
S. K. Roy ◽  
P. K. Biswas
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Plant Density ◽  
Agricultural Research ◽  
Dry Weight ◽  
Research Station ◽  
Maize Crop ◽  
Significant Difference ◽  
Fodder Yield ◽  
Stem Reserves

SUMMARYMaize was grown al the Regional Agricultural Research Station, Hathazari, Bangladesh during 1988/89 and 1989/90 to study fodder yield, cob growth and grain yield together with the contribution of pre-silking stem reserves to grain. Population densities were 33300, 44400 and 66600 plants/ha. Plants were either detopped after silking and pollen shedding, keeping 0, 2 or 3 leaves above the cob, or were left entire.The results showed that the maize crop could successfully be detopped for fodder with little or no adverse effect on grain yield. Fodder yield increased with increased plant density and among the detopping treatments the highest fodder yield was obtained when the plants were detopped just above the cob. Cob growth followed a sigmoid pattern and the highest dry weight per cob was obtained from the lowest plant density and from entire plants. The number of cobs/m2 increased with increased plant density but detopping treatments did not give any significant difference in relation to densities. The number of grains/cob was highest with 33300 plants/ha but, among the detopping treatments, plants detopped just above the cob had the lowest number of grains/cob in both years. Weight of 1000-grain decreased with increasing plant density but it was increased by detopping plants just above the cob during 1988/89, although it was decreased in 1989/90. The highest apparent translocation of pre-silking reserves was obtained using densities of 44400 plants/ha but detopping treatments did not show any consistent effect, although the highest apparent translocation (20%) and harvest index (58%) were obtained from plants detopped just above the cob.

scholarly journals Response of Wheat Genotypes to Different Levels of Nitrogen

2016 ◽  
Vol 2 ◽  
pp. 9-14
Author(s):  
Shukra Raj Shrestha ◽  
Sarita Manandhar ◽  
Bedanand Chaudhary ◽  
Bibek Sapkota ◽  
Rudra Bhattarai ◽  
...  
Keyword(s):  
Grain Yield ◽  
Triticum Aestivum L ◽  
Wheat Genotypes ◽  
Days To Heading ◽  
Check Variety ◽  
Four Levels ◽  
Two Parameters ◽  
N Rates ◽  
Different Levels ◽  
N Use

A field experiment was conducted using six genotypes of wheat (Triticum aestivum L.) for response to different levels of nitrogen (N) use.  The experiment was laid out in split plot design with four levels (0, 50, 100 and 150 kg N ha-1) as main plots and six wheat genotypes (BL 3623, BL 3629, BL 3872, NL 1008, NL 1055 and Vijay, a check variety) as sub-plots.  Grain yield and other yield components increased linearly in response to N concentrations in both seasons.  Only two parameters: days to heading (DOH) and days to maturity (DTM) varied significantly (p ≤ 0.05) among wheat genotypes in both the years.  None of the parameters showed interaction effects in both seasons. Vijay showed highest grain yield of 3.12 t ha-1 in 2013 with the application of 100 kg N ha-1, and 3.23 t ha-1 in 2014 with 150 kg N ha-1. Spike length, productive tillers m-2, number of spikes m-2 and test weight were greater with higher N rates. The straw yield of wheat fertilized with 150 kg N ha-1 was the highest in Vijay (4.35 t ha-1) and BL 3872 (4.33 t ha-1), respectively.  Vijay with 100 kg N ha-1 produced the highest number of productive tillers m-2 (276.33) in 2013 and 296.00 with the application of 150 kg N ha-1 in 2014.

scholarly journals Genotype x environment interaction of wheat genotypes under salinity environments

2017 ◽  
Vol 3 (1) ◽  
pp. 38-43
Author(s):  
Md Saleh Uddin ◽  
Md Sultan Alam ◽  
Nasrin Jahan ◽  
Kazi Md Wayaz Hossain ◽  
Md Ali Newaz
Keyword(s):  
Grain Yield ◽  
Grain Weight ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Wheat Genotypes ◽  
Genotype X Environment ◽  
Genotype Environment Interaction ◽  
Days To Heading ◽  
Salinity Levels ◽  
1000 Grain Weight

Genotypes x environment interaction as well as stability of performance were determined for grain yield and yield contributes of 12 wheat genotypes under four salinity levels of environments (control, 8, 12, 16 dS/m). Significant genotype-environment interaction (linear) for days to heading, plant height, number of spikes per plant and grains per spikes, 1000-grain weight and grain yield per plant at 1% level of probability when tested against pooled deviation. Both the environment (linear) and genotype x environment (linear) components of variation for stability were also significant indicating that prediction of the genotypes on the environment appeared feasible for all the characters. The variance due to pooled deviation was significant for only days to heading. Considering all the three stability parameter, genotype G11 was found most stable among all the genotypes for grain weight of wheat. Among the genotypes G11, G22, G24, G33 and G40 were most desirable for yield per plant. The genotype G32 showed more responsiveness to changing environment and was suited only for highly favorable environments. Based on three stability parameters, G11, G22 and G37 were the most stable and desirable genotypes with reasonable good yield among the all.Asian J. Med. Biol. Res. March 2017, 3(1): 38-43

scholarly journals Evaluation of Yield and its Components in Bread Wheat (Triticum aestivum L.) Genotypes

2021 ◽  
Vol 2 (1) ◽  
pp. 76-82
Author(s):  
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Morphological Characters ◽  
Considerable Variability ◽  
Thousand Grain Weight ◽  
Important Food ◽  
Wheat Genotypes ◽  
Wheat Improvement ◽  
Plot Yield

Bread wheat is an important food crop of world and Pakistan. An experiment was conducted in winter wheat growing season to assess yield and yield related traits of newly evolved wheat genotypes. The 16 wheat genotypes includes 14 advanced lines viz., CIM-04-5, CIM-04-21, CIM-04-3, C7-98-11, 5-02, V2-10-12, CIM-03-2, C2-98- 6, 6-12, V3-10-9, C6-98-5, V3-10-32, C2-98-8, V2-10-21 and 2 local checks NIA Sunhari and Kiran 95 were tested. Experimental design was laid out in RCBD with 3 replicates. Mean square for genotypes showed high significantly differences for most of agro-morphological characters. Mean and range of all wheat genotypes for all the traits indicated a considerable variability between genotypes. Mean performance for the trait grain yield showed that newly developed genotypes C2-98-8, CIM-04-21, V3-10-32 and CIM-04-3 produced higher grain yield (3 to 3.25 kg plot-1) than both the contesting check varieties. High significantly and positively correlation of the plot yield to thousand grain weight (0.41**), biomass (0.41**) and harvest index (0.86***) with grain yield were found. It indicated that by improving these three traits, we can significantly improve grain yield. Selected genotypes and traits can be used in breeding program for wheat improvement.

scholarly journals Genotype by environment interaction analysis of wheat (Triticum aestivum L.) grain yield under rain-fed conditions in Zambia

2021 ◽  
Vol 53 (4) ◽  
pp. 609-619
Author(s):  
B. Tembo
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Interaction Analysis ◽  
Crop Improvement ◽  
Genotype By Environment Interaction ◽  
Research Station ◽  
Environment Interaction ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Genotype By Environment

Understanding genotype by environment interaction (GEI) is important for crop improvement because it aids in the recommendation of cultivars and the identification of appropriate production environments. The objective of this study was to determine the magnitude of GEI for the grain yield of wheat grown under rain-fed conditions in Zambia by using the additive main effects and multiplicative interaction (AMMI) model. The study was conducted in 2015/16 at Mutanda Research Station, Mt. Makulu Research Station and Golden Valley Agricultural Research Trust (GART) in Chibombo. During2016/17, the experiment was performed at Mpongwe, Mt. Makulu Research Station and GART Chibombo, Zambia. Fifty-five rain-fed wheat genotypes were evaluated for grain yield in a 5 × 11 alpha lattice design with two replications. Results revealed the presence of significant variation in yield across genotypes, environments, and GEI indicating the differential performance of genotypes across environments. The variance due to the effect of environments was higher than the variances due to genotypes and GEI. The variances ascribed to environments, genotypes, and GEI accounted for 45.79%, 12.96%, and 22.56% of the total variation, respectively. These results indicated that in rain-fed wheat genotypes under study, grain yield was more controlled by the environment than by genetics. AMMI biplot analysis demonstrated that E2 was the main contributor to the GEI given that it was located farthest from the origin. Furthermore, E2 was unstable yet recorded the highest yield. Genotype G47 contributed highly to the GEI sum of squares considering that it was also located far from the origin. Genotypes G12 and G18 were relatively stable because they were situated close to the origin. Their position indicated that they had minimal interaction with the environment. Genotype 47 was the highest-yielding genotype but was unstable, whereas G34 was the lowest-yielding genotype and was unstable.

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