scholarly journals Grain yield stability of early maize genotypes

2016 ◽  
Vol 2 (1) ◽  
pp. 94-99 ◽  
Author(s):  
Chitra Bahadur Kunwar ◽  
Ram Bahadur Katuwal ◽  
Sailendra Thapa ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Yield Stability ◽  
Gge Biplot ◽  
Maize Genotypes ◽  
Superior Genotype ◽  
Randomized Complete Block Design ◽  
Stability Pattern

The objective of this study was to estimate grain yield stability of early maize genotypes. Five early maize genotypes namely Pool-17, Arun1EV, Arun-4, Arun-2 and Farmer’s variety were evaluated using Randomized Complete Block Design along with three replications at four different locations namely Rampur, Rajahar, Pakhribas and Kabre districts of Nepal during summer seasons of three consecutive years from 2010 to 2012 under farmer’s fields. Genotype and genotype × environment (GGE) biplot was used to identify superior genotype for grain yield and stability pattern. The genotypes Arun-1 EV and Arun-4 were better adapted for Kabre and Pakhribas where as pool-17 for Rajahar environments. The overall findings showed that Arun-1EV was more stable followed by Arun-2 therefore these two varieties can be recommended to farmers for cultivation in both environments.

scholarly journals Combining ability and heterotic value of ten lines maize genotypes tolerant to tidal-swamp soil stress

2021 ◽  
Vol 911 (1) ◽  
pp. 012024
Author(s):  
Suwarti ◽  
Munif Ghulamahdi ◽  
Muhammad Azrai ◽  
Didy Sopandi ◽  
Trikoesoemaningtyas ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Parental Line ◽  
Research Station ◽  
Acid Sulphate Soils ◽  
Tidal Swamp ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Target Environment ◽  
Half Diallel

Abstract Development of maize hybrid for tidal swampland was initiated by selecting and combinate some superior line genotypes that tolerate to the restrictions in target environment. This study aimed was to evaluate the capability of ten maize lines result of selection on tidal swamp acid sulphate soils to obtain GCU, GCA, and heterosis values based on parental yield averages. The experiment has consisted of ten fine line genotypes which have selected in 2019 at the tidal swamp. Each parent was crossed in half-diallel combination, resulting in 46 entries, including the inbred parents. The entries were planted in a randomized complete block design with three replications. The research was conducted on Bajeng Research Station Experiment 5°18’S and 119°30’E from September 2020 to January 2021. The result shows that GCA ability and SCA ability was significant to yield in the form of grain (15% moisture content), the number of ear per plot, ten ear weight, ten corncob weight, ear harvested weight, 1000 seeds weight, plant height, ear length and the number of seed per ear. Grain yield of W6xW9 crosses obtains the highest value of 9.36 tha−1, non-significantly different to hybrid check P35 (9.35 tha-1). The highest GCA value in the grain yield character was obtained on W9 parental line (0.64**). The highest SCA was obtained on the crossing of W7 x W8 (2.61). The highest heterosis value was revealed in W5 x W10 hybrid (4.80). However, W7 x W8 crossing heterosis value was 2.34, indicate that a high SCA effect did not usually generate high heterosis. To perform high heterosis value, W10 was good as female parental.

scholarly journals Productivity of winter maize as affected by varieties and fertilizer levels

2020 ◽  
Vol 4 (1) ◽  
pp. 85-93
Author(s):  
Bishnu Hari Adhikary ◽  
Bandhu Raj Baral ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Research Program ◽  
Block Design ◽  
Yield Production ◽  
Maize Genotypes ◽  
Maize Varieties ◽  
Randomized Complete Block Design ◽  
Nitrogen Phosphorus

Grain yield production of maize is greatly affected by varieties and fertilizer levels. This study was conducted to determine the effects of different rates of fertilizers (nitrogen, phosphorus, potassium fertilizers and farmyard manures) on grain yield and yield attributing traits of different maize varieties during winter seasons of 2009/10 and 2010/011 at the research farm of National Maize Research Program, Rampur, Chitwan, Nepal. Six levels of fertilizers [Control (Zero fertilizer), FYM @ 10 t/ha, FYM@ 10 t/ha plus 60:30 20 kg NPK/ha, FYM@ 10 t/ha plus 120: 60: 40 kg NPK/ha, FYM@ 10 t/ha plus 180: 90: 60 kg NPK/ha, and 120: 60: 40 kg NPK/ha] and four maize varieties (Rampur Composite, Manakamana-4, Across9942 × Across 9944 and S99TLYQ-B) were evaluated in randomized complete block design with three replications. The results showed that grain yield was non-significant for maize genotypes but the fertilizers levels were highly significant for grain yield. Rampur Composite produced the highest grain yield (5195 kg/ha), followed by Manakamana-4 (5074 kg/ha), Across9942 × Across9944 (5052 kg/ha) and S99TLYQ-B (4789 kg/ha) with the application of NPK 180: 90: 60 kg/ha plus FYM 10 t/ha. This information is useful in generating suitable fertilization packages for obtaining higher grain yield of maize varieties.

scholarly journals Evaluation of early maize genotypes for grain yield and agromorphological traits

2018 ◽  
Vol 3 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Bishal Dhakal ◽  
Keshav Prasad Shrestha ◽  
Bishnu Prasad Joshi ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Morphological Traits ◽  
Agricultural Research ◽  
Block Design ◽  
Research Field ◽  
Research Station ◽  
Local Variety ◽  
Selection Strategies ◽  
Maize Genotypes ◽  
Randomized Complete Block Design

The purpose of this study was to assess the variation on agro-morphological traits and grain yield. A set of 14 early maize genotypes were studied at research field of Regional Agricultural Research Station (RARS), Doti, Nepal in summer seasons of 2015 and 2016. The experiment was carried out in Randomized Complete Block Design (RCBD) with three replications in each year. The variation among genotypes was observed for grain yield and flowering. The genotype SO3TEY-PO-BM produced the highest grain yield (4.33 t/ha) in 2015 whereas Rajahar Local Variety produced the highest grain yield (2.52 t/ha) in 2016. The combined analysis over years showed that Farmer’s variety was found earlier in tasseling (36 days) and silking (39 days), followed by S97TEYGHAYB(3) in tasseling (45 days) and by S97TEYGHAYB(3) and Arun-4 in silking (48 days). EEYC1 produced the highest grain yield (3.17 t/ha), followed by COMPOL-NIBP (3.09 t/ha), SO3TEY-PO-BM (2.90 t/ha), S97TEYGHAYB(3) (2.78 t/ha) and Rajahar Local variety (2.77 t/ha), respectively. The information on variation for the agro-morphological traits among studied early maize genotypes will be helpful to plant breeders in constructing their breeding materials and implementing selection strategies.

scholarly journals Genotype by environment interaction and yield stability analysis of quality protein maize genotypes in Terai Region of Nepal

2013 ◽  
Vol 1 (2) ◽  
pp. 74-78 ◽  
Author(s):  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Coefficient Of Determination ◽  
Quality Protein Maize ◽  
Environment Interaction ◽  
Maize Breeding ◽  
Maize Genotypes ◽  
Joint Regression Analysis

Grain yield stability for the new maize genotypes is an important target in maize breeding programs. The main objective of this study was to identify stable high yielding quality protein maize (QPM) genotypes under various locations and years in terai region of Nepal. Six quality protein maize genotypes along with Poshilo Makai-1 (Standard Check) and Farmer’s Variety (Local Check) were tested at three different locations namely Ayodhyapuri-2, Devendrapur, Madi, Chitwan; Rajahar-8, Bartandi, Rajahar,  Nawalparasi; Mangalpur-2, Rampur,  Chitwan during  2011 and 2012 spring and winter seasons under rainfed condition.  The experiment was conducted using Randomized Complete Block Design with two replications in farmer’s fields. There was considerable variation among genotypes and environments for grain yield. The analysis of variance showed that mean squares of environments (E) was highly significant and genotypes (G) and genotype x environment interaction (GEI) were non significant. The genotypes S03TLYQ-AB02 and RampurS03FQ02 respectively produced the higher mean grain yield 5422±564 kg/ha and 5274±603 kg/ha across the locations. Joint regression analysis showed that RampurS03FQ02 and S03TLYQ-AB02 with regression coefficient 1.10 and 1.22 respectively are the most stable genotypes over the tested environments. The coefficient of determination (R2) for genotypes Rampur S03FQ02 and S03TLYQ-AB02 were as high as 0.954, confirming their high predictability to stability. Further confirmation from GGE biplot analysis showed that maize genotype S03TLYQ-AB02 followed by Rampur S03FQ02 were more stable and adaptive genotypes across the tested environments. Thus these genotypes could be recommended to farmers for general cultivation.DOI: http://dx.doi.org/10.3126/ijasbt.v1i2.8202 Int J Appl Sci Biotechnol, Vol. 1(2): 75-79

scholarly journals Analysis of Genotype-Environment Interaction and Yield Stability of Introduced Upland Rice in the Groundnut Basin Agroclimatic Zone of Senegal

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ghislain Kanfany ◽  
Mathieu Anatole Tele Ayenan ◽  
Yedomon Ange Bovys Zoclanclounon ◽  
Talla Kane ◽  
Malick Ndiaye ◽  
...  
Keyword(s):  
Grain Yield ◽  
Upland Rice ◽  
Block Design ◽  
Principal Component ◽  
Stability Index ◽  
Rice Production ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype Environment Interaction

Identification of highly performing varieties under Senegalese environment is crucial to sustain rice production. Genotype-environment interaction and stability performance on the grain yield of ten upland rice genotypes were investigated across 11 environments in Senegal during the rainy seasons of 2016 and 2017 to identify adapted varieties. The experiment was conducted using a randomized complete block design with three replications at each environment. Data on grain yield were recorded and analyzed using the additive main effects and multiplicative interaction (AMMI) model. The combined analysis of variance revealed that the grain yield was significantly affected by environment (67.9%), followed by genotype × environment (G × E) interaction (23.6%) and genotype (8.5%). The first two principal component axes were highly significant with 37.5 and 26% of the total observed G × E interaction variation, respectively. GGE biplot grouped the environments into four potential megaenvironments. Based on the yield stability index parameter and ranking GGE biplot, NERICA 8 and ART3-7-L9P8-1-B-B-1 were stable and high-yielding varieties compared to the local check NERICA 6. These varieties should be proposed for cultivation in order to sustain the rice production in the southern part of the groundnut basin of Senegal and used as parental lines in rice breeding program for grain yield improvement.

scholarly journals Productivity of Maize Genotypes under Different Planting Dates

Our Nature ◽  
2015 ◽  
Vol 13 (1) ◽  
pp. 45-49 ◽  
Author(s):  
B.K. Santa Bahadur ◽  
Tika Bahadur Karki ◽  
Jiban Shrestha ◽  
Parbati Adhikari
Keyword(s):  
Grain Yield ◽  
Rainy Season ◽  
Block Design ◽  
Winter Season ◽  
Yield Potential ◽  
Spring Season ◽  
Production Potential ◽  
Planting Dates ◽  
Maize Genotypes ◽  
Randomized Complete Block Design

Genotypic yield potential of maize genotypes is greatly affected by planting dates. This study was conducted to determine optimum planting dates of maize genotypes in 2013/14 at Rampur, Chitwan, Nepal. Four genotypes namely RML-4/RML-17, RML-32/RML-17, ACROSS-9944/ACROSS-9942 and S99TLYQ-B were planted at every week from April  to March.  The experiments were laid out in randomized complete block design with four replications . The result of experiment showed that the highest production (5565 kg/ha) was obtained in August followed by February (5266 kg/ha), June (4475 kg/ha) and July (4255 kg/ha) respectively. The lowest yield (2572 kg/ha) was obtained in the month of November and December planting (3019 kg/ha). The highest grain yield was obtained in RML-4/RML-17 (7392 kg/ha) and RML-32/RML17 (6606 kg/ha), ACROSS- 9944/ACROSS-9942 (5004 kg/ha) during August planting and higher yield of QPM variety S99TLYQ-B was obtained in the month February planting. Winter maize has higher production potential than the rainy season maize. Based on this experiment RML-4/RML-17, RML-32/RML17 and ACROSS- 9944/ACROSS-9942 should be planting in August (winter season) and S99TLYQ-B in February (spring season) for higher grain yield production.Our Nature (2015), 13(1): 45-49

scholarly journals Evaluasi Stabilitas Hasil Jagung Hibrida Menggunakan Metode Genotype and Genotype by Environment Interaction Biplot (GGE BIPLOT)

2017 ◽  
Vol 1 (2) ◽  
pp. 97
Author(s):  
Slamet Bambang Priyanto ◽  
Roy Efendi ◽  
Bunyamin Z. ◽  
M. Azrai ◽  
M. Syakir
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
North Sulawesi ◽  
South Sulawesi

<p class="Abstrak">Visualization of GGE biplot analyses was able to explain the genotype by environment interaction. This research was aimed to determine the yield stability of promising experimental maize hybrids in eight locations based GGE biplot method. Ten promising experimental maize hybrids and two commercial hybrid varieties as check, namely: HBSTK01, HBSTK03, HBSTK05, HBSTK06, HBSTK07, HBSTK08, HBSTK09, HBSTK10, HBSTK11, HBSTK13 and Bima 16 and Pertiwi 3 were evaluated in eight locations, ie. Bangka (Bangka Belitung), Probolinggo (East Java), Minahasa Utara (North Sulawesi), Donggala (Central Sulawesi), Soppeng, South Sulawesi, Gowa (South Sulawesi, Konawe (Southeast Sulawesi)and Lombok Barat (West Nusa Tenggara) from May to October 2013. The treatments were arranged in a randomized complete block design (RCBD) with 3 replications. Variable measured was grain yield. Analysis of variance was performed for data from each study site, to determine the performance of each genotype at each location. Yield stability analysis was performed by GGE biplot method using PB tools software. Results showed that genotype H9 (HBSTK11) had the highest biological stability with grain yield of 10.37 t/ha, higer than the overall mean yield. The best hybrid with the highest yield and good stability was hybrid H6 (HBSTK08) of 11.08 t/ha. This experimental hybrid is considered potential to be released as new hybrid variety. North Minahasa is considered the most suitable location for testing, whereas Konawe and West Lombok are least suitable, compared with the other locations.</p>

scholarly journals Grain Yield Stability of Rice Genotypes

2020 ◽  
Vol 3 (2) ◽  
pp. 116-126
Author(s):  
Jiban Shrestha ◽  
Ujjawal Kumar Singh Kushwaha ◽  
Bidhya Maharjan ◽  
Manoj Kandel ◽  
Suk Bahadur Gurung ◽  
...  
Keyword(s):  
Grain Yield ◽  
Climatic Factors ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Soil Conditions ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Rice Genotypes ◽  
B 31

Stability analysis identifies the adaptation of a crop genotype in different environments. The objective of this study was to evaluate promising rice genotypes for yield stability at different mid-hill environments of Nepal. The multilocation trials were conducted in 2017 and 2018 at three locations viz Lumle, Kaski; Pakhribas, Dhankuta; and Kabre, Dolakha. Seven rice genotypes namely NR11115-B-B-31-3, NR11139-B-B-B-13-3, NR10676-B-5-3, NR11011-B-B-B-B-29, NR11105-B-B-27, 08FAN10, and Khumal-4 were evaluated in each location. The experiment was laid out in a randomized complete block design with three replications. The rice genotype NR10676-B-5-3 produced the highest grain yield (6.72 t/ha) among all genotypes. The growing environmental factors (climate and soil conditions) affect the grain yield performance of rice genotypes. The variation in climatic factors greatly contributed to the variation in grain yield. Polygon view of genotypic main effect plus genotype-by-environment interaction (GGE) biplot showed that the genotypes NR10676-B-53 and NR11105-B-B-27 were suitable for Lumle; NR11115-B-B-31-3 and NR11139-B-B-B-13-3 for Pakhribas; and 08FAN10 and NR11011-B-B-B-B-29 for Kabre. The GGE biplot showed that genotype NR10676-B-5-3 was stable hence it was near to the point of ideal genotype. This study suggests that NR10676-B-5-3 can be grown for higher grain yield production in mid-hills of Nepal.

scholarly journals Genotype × environment interaction of quality protein maize grain yield in Nepal

2016 ◽  
Vol 2 (1) ◽  
pp. 66-73
Author(s):  
Jiban Shrestha ◽  
Chitra Bahadur Kunwar ◽  
Jharana Upadhyaya ◽  
Maiya Giri ◽  
Ram Bahadur Katuwal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Quality Protein Maize ◽  
Environment Interaction ◽  
Maize Grain Yield ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Maize Grain

In order to determine G × E interaction of quality protein maize grain yield, six maize genotypes were evaluated under different environments of three Terai (Chitwan, Surkhet and Doti) and four mid hill (Dhankuta, Lalitpur, Dolakha and Kaski) districts of Nepal during summer seasons of 2014 and 2015. The experiments were conducted using randomized complete block design along with three replications. The  genotypes namely S99TLYQ-B, S99TLYQ-HG-AB and S03TLYQ-AB-01 were identified high yielding and better adapted genotypes for Terai environments with grain yield of  4199 kg ha-1, 3715 kg ha-1, and 3336 kg ha-1 respectively and  S99TLYQ-B and S03TLYQ-AB-01 for mid hill environments with grain yield of  4547 kg ha-1 and 4365 kg ha-1 respectively. Therefore, these genotypes can be suggested for cultivation in their respective environments in the country.

scholarly journals Evaluation of Maize Genotypes against Southern Leaf Blight (Bipolaris Maydis) During Summer Seasons at Rampur, Chitwan

2017 ◽  
Vol 5 (4) ◽  
pp. 532-536
Author(s):  
Tirtha Raj Rijal ◽  
Keshab Babu Koirala ◽  
Mina Karki
Keyword(s):  
Grain Yield ◽  
Rating Scale ◽  
Block Design ◽  
Research Field ◽  
Leaf Blight ◽  
Bipolaris Maydis ◽  
Maize Genotypes ◽  
Randomized Complete Block Design ◽  
Southern Leaf Blight ◽  
Moderately Resistant

Maize genotypes were screened at research field of National Maize Research Program, Rampur, Chitwan on 20 maize genotypes during 2015 and 2016 summer season with the objective of identification of resistant genotypes against southern leaf blight caused by Bipolaris maydis. Field experiment was laid out in randomized complete block design with three replications. Disease scoring was done as percentage of leaf area infected using 1-5 rating scale. In both the years among the tested genotypes, disease severity and grain yield varies significantly. None of the genotypes reacted for resistant whereas four genotypes; 05SADVI, BGBYPOP, RAMS03F08 and RML-32/RML-17 were moderately resistant over the years. For grain yield most of the tested genotypes produced comparatively lower grain yield however RML-32/RML-17 was superior for grain yield (3.1 t/ha) over the years. Int. J. Appl. Sci. Biotechnol. Vol 5(4): 532-536

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