scholarly journals SELEKSI POHON BENIH Gmelina arborea Roxb. PADA HUTAN RAKYAT DI BONDOWOSO, JAWA TIMUR Selection of Seed Trees of Gmelina arborea Roxb. at Smallholder Forest In Bondowoso, East Java

2018 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Hamdan Adma Adinugraha ◽  
Dedi Setiadi
Keyword(s):  
Grain Weight ◽  
Agricultural Crops ◽  
Gmelina Arborea ◽  
Equitable Distribution ◽  
Trunk Diameter ◽  
Parent Tree ◽  
Seed Sources ◽  
1000 Grain Weight ◽  
Number Of Seeds ◽  
Selection Of

Gmelina arborea is one plant spacies that is widely planted in smallholder forests in Bondowoso, East Java. This research was conducted in the framework of the selection of seed sources that can be developed for proiduksi quality seeds. The results showed that a relatively equitable distribution of forest people in four districts with three patterns that monoculture, mixtures and intercropping with agricultural crops. Parent tree bole height average of 10.60 m with a trunk diameter/ 25.39 cm dbh. there are 2 types of fruit is round and slightly oval with the number of seeds per kilogram of grain in 1872 and 1000 grain weight of seed on average 538.75 grams indicates the variation differed significantly between the parent tree.Key Words: Gmelina arborea; seed trees; selection; smallholder forest

scholarly journals Selección de Árboles Semilleros en Plantaciones Forestales de la Península de Santa Elena. Ecuador.

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Juan Valladolid Ontaneda ◽  
Ángel León Mejía ◽  
Daniel Paredes Flores
Keyword(s):  
Morphological Characteristics ◽  
Timber Species ◽  
Cedrela Odorata ◽  
Gmelina Arborea ◽  
Forest Species ◽  
Swietenia Macrophylla ◽  
Cordia Alliodora ◽  
Santa Elena ◽  
Number Of Seeds ◽  
Selection Of

El estudio de selección de árboles semilleros se realizó en las comunas Olón, Dos Mangas y Salanguillo del cantón Santa Elena, provincia de Santa Elena, Ecuador. El objetivo del estudio fue, identificar, caracterizar y seleccionar árboles semilleros de especies maderables con buenas características morfológicas, y que permitan disponer de semillas para trabajos de propagación de especies forestales en viveros con fines de reforestación. El estudio se inicia con la identificación y ubicación de plantaciones forestales de varias especies forestales establecidas entre los años 2000 a 2005, en las plantaciones se evaluaron las características dasométricas y morfológicas, las que permitieron seleccionar 11 árboles con características morfológicas deseables correspondientes a cinco especies forestales laurel blanco(Cordia alliodora), laurel negro(Cordia megalantha), caoba (Swietenia macrophylla), cedro (Cedrela odorata) y melina (Gmelina arbórea); cada árbol fue georreferenciado utilizando coordenadas UTM Datum WGS 1984 Zona 17M. La cantidad de semillas que pueden producir dichas especies forestales es proyectada por año la cual servirá como referencia para establecer programas de reforestación con materiales propios y adaptados a las condiciones ambientales en la provincia de Santa Elena Abstract  The study of selection of seed trees was carried out in the Olón, Dos Mangas and Salanguillo communes of the canton Santa Elena, Santa Elena province, Ecuador. The objective of the study was to identify, characterize and select seedlings of timber species with good morphological characteristics, and to allow seeds to be used for the propagation of forest species in nurseries for reforestation purposes. The study began with the identification and location of forest plantations of several forest species established between 2000 and 2005, on the plantations, the dasometric and morphological characteristics were evaluated, allowing the selection of 11 trees with desirable morphological characteristics corresponding to five forest species White laurel (Cordia alliodora), black laurel (Cordia megalantha), mahogany (Swietenia macrophylla), cedar (Cedrela odorata) and melina (Gmelina arborea); Each tree was georeferenced using coordinates UTM Datum WGS 1984 Zone 17M. The number of seeds that can produce these forest species is projected per year which will serve as a reference to establish reforestation programs with their own materials and adapted to the environmental conditions in the province of Santa Elena.

scholarly journals Development of Power Operated Portable Sesame Thresher for Small Farmers

2020 ◽  
pp. 1-7
Author(s):  
P. Dhananchezhiyan ◽  
M. Venkatesh ◽  
M. Vanitha ◽  
D. Thamizhagan ◽  
S. Theliban
Keyword(s):  
Tamil Nadu ◽  
Average Length ◽  
Grain Weight ◽  
Small Farmers ◽  
Sesame Seeds ◽  
Output Capacity ◽  
Portable Power ◽  
Average Size ◽  
1000 Grain Weight ◽  
Number Of Seeds

Threshing of sesame seeds from the harvested capsules is one of the important operations and it consumes more labor, time and cost. Hence the development of a power operated portable sesame thresher is timely essential for the small farmers. The physical properties of sesame seeds namely size of the seed, Number of seeds per capsule, 1000 grain weight and length and thickness of capsules were studied for developing a power operated portable sesame thresher. The most popular variety used in Tamil Nadu is TMV 7. The average length and thickness of capsules were measured as 35 and 12 mm respectively. The average number of seeds in single capsule was determined as 60. The average 1000 grain weight was determined as 3.1 g. and the average size of the seed is 3×1.8× 0.9 mm. Based on these results the portable sesame thresher was fabricated based on double roller (two rollers are rotating with opposite direction) mechanism with an overall size of 1392 ×700 ×1170 mm and its performance was assessed in terms of threshing efficiency, output capacity, saving in cost and time and compared with conventional methods of manual threshing. The developed portable power sesame thresher was field tested and its threshing efficiency and seed output capacity were 96.7% and 18.2 kg h-1, respectively. The saving in cost and time were 92 and 72% respectively as compared to conventional method of manual threshing.

scholarly journals Growth and Yield Response of Field Pea (Pisum sativum L.) To Gamma Irradiation Stress

2016 ◽  
Vol 74 (1) ◽  
pp. 27-35
Author(s):  
Abdul Majeed ◽  
Zahir Muhammad ◽  
Rehman Ullah
Keyword(s):  
Pisum Sativum ◽  
Gamma Irradiation ◽  
Crop Improvement ◽  
Grain Weight ◽  
Growth And Yield ◽  
Yield Response ◽  
Dry Biomass ◽  
Irradiation Stress ◽  
1000 Grain Weight ◽  
Number Of Seeds

Abstract Ionizing radiation has extensive applications in agriculture for inducing mutagenic changes in major field crops, potential breeding purposes, varietal development and crop improvement. This study was conducted to test the efficacy of 0.8, 1.6, 2.4 and 3.6 kGy gamma irradiation doses (Cobalt-60) upon growth and yield performance of edible pea (Pisum sativum L.) in pot culture experiment during 2009. Results demonstrated that higher radiation doses (1.6 and 3.2 kGy) significantly influenced the studied attributes of P. sativum. It was observed that 3.2 kGy had detrimental effects on shoot and pod lengths of pea which were reduced by 14.60 and 17.71 % respectively when compared to control. Differential response of the number of seeds pod−1, 1000 grain weight and dry biomass of pea were recorded at the applied doses. Significant reduction in number of seeds (−14.21 %) but increase in 1000 grain weight (+13.93 %) and dry biomass (+11.32 %) of pea were recorded at 1.6 kGy which revealed stimulatory effects on grain weight and dry biomass. Conversely, radiation dose 3.2 kGy was found detrimental to all the studied parameters except number of pods plant−1 and number of seeds pod−1 which were not affected.

scholarly journals Selection of Wheat Ideotype Based on Multiple Traits using Genotype by Yield-Trait Approach

2021 ◽  
Vol 25 (06) ◽  
pp. 1367-1374
Author(s):  
Muhammad Faheem
Keyword(s):  
Grain Yield ◽  
Total Variation ◽  
Third Sector ◽  
Grain Weight ◽  
Multiple Traits ◽  
Yield Trait ◽  
Superior Genotypes ◽  
Almost All ◽  
1000 Grain Weight ◽  
Selection Of

In plant breeding, a novel genotype-by-yield trait (GYT) biplot approach was introduced to select superior genotypes based on multiple traits. The present study demonstrated the application of the GYT biplot model to evaluate the superior wheat advanced lines from a panel of 24 genotypes to select the ideotype for end users. Results show that the genotype-by-trait (GT) biplot covered 57% of the total variation of the data to reveal that grain yield was strongly associated with 1000-grain weight and grain width. In contrast, the GYT biplot explained 90.2% of the total variation which was significantly much higher than GT biplot. According to tester vector view of GYT biplot almost all the yield trait combinations were associated with each other at different degree of association; whereas the genotypes present within the acute angles of tester vectors (yield trait combinations) had the trait profile contributed positively towards grain yield. The polygon biplot of GYT had eight sectors, out of which only three had the yield trait combinations. The eight genotypes were the polygon vertex among which the advanced line DF1906 of first sector was designated as the best genotype for spike length, number of spikelets per spike, grain weight per spike and number of grains per spike. Additionally, the DF1912 of second sector was early maturing coupled with high 1000-grain weight while DF1917 of third sector had short stature and gave the highest harvest index. The average tester coordination (ATC) biplot grouped 13 genotypes as superior and nine as inferior genotypes and recommended two advanced lines DF1912 and DF1917 as ideotype based on balanced traits profile. These findings strengthened the argument that the GYT biplot analysis is better than other selection indices and guaranteed the selection of superior genotypes and rejection of inferior ones based on multiple traits yield combinations. © 2021 Friends Science Publishers

scholarly journals Correlation between quantitative traits that affect grain yield of maize hybrids

2021 ◽  
pp. 27-32
Author(s):  
G. Ya. Krivosheev ◽  
A. S. Ignatiev
Keyword(s):  
Grain Yield ◽  
Quantitative Traits ◽  
Agricultural Research ◽  
Grain Weight ◽  
Maize Hybrids ◽  
Rostov Region ◽  
Arid Conditions ◽  
1000 Grain Weight ◽  
Maize Ear ◽  
Selection Of

The selection of pairs for hybridization requires knowledge about the correlation of the most important quantitative traits that affect grain yield of maize hybrids. The current study was carried out in the Agricultural Research Center “Donskoy” located in the south of the Rostov region with unstable moisture. The years of study (2018–2020) were arid (HThC 0.32–0.89). The purpose of the current study was to evaluate the correlation between quantitative traits and their influence on grain yield of maize hybrids under arid conditions. The objects of research were 96 interline maize hybrids. The analysis has identified the correlation between grain yield and such quantitative traits as ‘one maize ear weight’ (r = 0.64...0.87), ‘number of grains per one maize ear row’ (r = 0.37...0.75), ‘number of grains per maize ear’ (r = 0.32...0.51), ‘number of maize ears per plant’ (r = 0.41...0.53), ‘grain yield’ (r = 0.45...0.64). The traits ‘1000-grain weight’ and ‘number of grain rows’ had either no or slight effect on the formation of grain yield of maize hybrids (r = -0.12...0.28). There have been established the traits, the high values of which were well-combining in one genotype. The values of the trait ‘one maize ear weight’ raised due to an increase of the trait ‘number of grains per one maize ear row’ (r = 0.27...0.74), ‘number of grains per maize ear’ (r = 0.26...0.55), ‘grain yield’ (r = 0.21...0.52). The trait ‘number of grains per maize ear’ raised with an increase in the values of such constituent components as ‘number of grains per one maize ear row’ (r = 0.70...0.76), ‘number of grain rows per maize ear’ (r = 0.59...0.66), and also with an increase of ‘number of maize ears per plant’ (r = 0.32...0.51) and ‘grain yield’ (r = 0.36...0.38). There have been identified difficulty-combining quantitative traits, when the value of the trait ‘1000-grain weight’ decreased with the increase of the ‘number of grain rows per maize ear’ (r = – 0.18...-0.56), ‘number of grains per a maize ear row’ (r = -0.15...-0.31) and ‘grain yield’ (r = -0.01...-0.36).

scholarly journals Variability Assessment of Aromatic and Fine Rice Germplasm in Bangladesh Based on Quantitative Traits

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
M. Z. Islam ◽  
M. Khalequzzaman ◽  
M. K. Bashar ◽  
N. A. Ivy ◽  
M. M. Haque ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Growth Traits ◽  
Flag Leaf ◽  
Grain Weight ◽  
Grain Length ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
1000 Grain Weight ◽  
Selection Of

The study was conducted to investigate genetic variability among 113 aromatic and fine local rice genotypes of which five were exotic in origin. The test genotypes were evaluated for 19 growth traits, yield components, and yield. All the quantitative traits varied significantly among the test genotypes. High heritability along with high genetic advance was observed for flag leaf area, secondary branches per panicle, filled grains per panicle, grain length, grain breadth, grain length breadth ratio, and 1000 grain weight. Such findings suggested preponderance of additive gene action in gene expression for these characters. Grain yield was significantly and positively correlated with days to flowering, days to maturity, panicle length, filled grains per panicle, and 1000 grain weight. According toD2cluster analysis, 113 test genotypes formed 10 clusters. Selection of parents from the clusters V and X followed by hybridization would possibly result in desirable heterosis for the development of heterotic rice hybrids. Finally, molecular characterizations of the studied germplasm are required for high resolution QTL mapping and validating the presence of candidate genes responsible for valuable characters.

Evaluation of yield of safflower (Carthamus tinctorius L.) genotypes under semi-arid conditions

2020 ◽  
Vol 18 (4) ◽  
pp. 270-277
Author(s):  
Seyed Mojtaba Mousavi Ojaq ◽  
Hamid Mozafari ◽  
Hamid Jabbari ◽  
Behzad Sani
Keyword(s):  
Grain Yield ◽  
Flower Colour ◽  
Principal Component ◽  
Carthamus Tinctorius ◽  
Grain Weight ◽  
Arid Conditions ◽  
Flowering Initiation ◽  
1000 Grain Weight ◽  
Semi Arid ◽  
Selection Of

AbstractTo identify appropriate genotypes for breeding varieties suitable for semi-arid areas, yield components, as well as morphophonological traits of 127 safflower genotypes, were assessed at the Seed and Plant Improvement Institute, Iran. Cluster analysis revealed four distinct groups. The largest group (third cluster) includes 48 genotypes with characteristics such as mostly yellow-coloured flowers, mostly thorny with few thistle genotypes, relatively early-flowering, relatively high number of heads and grains per plant, highest 1000-grain weight with the highest grain yields. In contrast, the smallest group (second cluster) contains 13 genotypes with characteristics such as yellow florets, semi-dwarf, thorny, moderately late-flowering, low number of heads per plant and number of grains per head, low 1000-grain weight, and low grain yield. Principal component analysis results showed that the three components accounted for 29.5, 15.9 and 11.1% of the total variation, respectively. Graphic representation of the biplots based on the first and second principal components showed that the experimental genotypes were classified into four groups. The results also indicated that stem diameter, the number of branches, heads per plant and grains per head had the highest correlation with the first component, and grain yield, flower colour, flowering initiation and plant height had the highest correlation with the second component. These traits can be considered as an appropriate index for the selection of elite safflower genotypes for breeding varieties suited to cultivation in semi-arid conditions.

scholarly journals Effect of variety, seed rate and row spacing on the growth and yield of rice in Bauchi, Nigeria

2013 ◽  
Vol 13 (59) ◽  
pp. 8155-8166
Author(s):  
AA Garba ◽  
◽  
BA Mahmoud ◽  
Y Adamu ◽  
U Ibrahim ◽  
...  
Keyword(s):  
Field Experiments ◽  
Grain Weight ◽  
Growth And Yield ◽  
Row Spacing ◽  
Seeding Rate ◽  
Significant Difference ◽  
Split Plot ◽  
Spike Number ◽  
1000 Grain Weight ◽  
Number Of Seeds

Field experiments were conducted at Abubakar Tafawa Balewa University, Fadama Farm Bauchi, during the rainy seasons of 2006 and 2007 to study the effects of variety, seeding rate and row spacing on growth and yield of rice. Two varieties of rice; Ex – China (Indigenous and upland/lowland) and NERICA-1 (improved and upland), three seeding rates (32, 54 and 75 kg/ha) and four row spacings (15, 20, 25 and broadcast) were used during the study. The treatments were combined and laid in a split – split plot design with three replications. Variety was placed in the main plot, seeding rate in the sub plot while row spacing was placed in sub –sub plot. Data were collected on parameters such as plant height, number of tillers per plant, spikes per hill, spikelets per spike and number of seeds per spike, seed weight per hill, 1000 grain weight and yield kg ha-1 and analyzed using analysis of variance procedure for split – split plot and significant differences among the treatment means were separated using the Duncan multiple range test (DMRT). Variety Ex-China produced significantly (P<0.05) higher numbers of tillers per plant and spikes per hill. However, NERICA-1 produced significantly (P<0.05) higher numbers of spikelets per spike, seeds per spike, weight of seed per spike, weight of seed per hill, 1000 grain weight and yield in kg ha-1 than Ex-China. Row spacings of 15, 20 and 25cm also had significant effects on the number of tillers per plant, number of spikes per hill, number of spikelets per spike, number of seeds per spike, weight of seed per spike, weight of seed per hill, 1000 grain weight and yield kg ha-1 over the control. From the factors studied, seeding rate did not show any significant difference during the two years of investigation. Interactions were also observed among the factors studied. Therefore, row spacings irrespective of the method used, or hole planting of rice could be more appropriate for optimum grain yield.

A trait collection of spring groat barley

2018 ◽  
pp. 85-96
Author(s):  
I.A. Petukhova ◽  
V.K. Riabchun ◽  
V.A. Muzapharova ◽  
O.I. Padalka ◽  
T.A. Sheliakina ◽  
...  
Keyword(s):  
High Performance ◽  
Spring Barley ◽  
Vegetation Period ◽  
Grain Weight ◽  
Starting Material ◽  
Economic Traits ◽  
The Czech Republic ◽  
Science And Education ◽  
New Varieties ◽  
1000 Grain Weight

The goal of our research was to form a collection of groats barley, to search, to select and to evaluate starting material of spring barley for a set of valuable economic traits, technological properties and culinary qualities of barley groats. Results and Discussion. Basing on to the results of assessments, we identified selected 55 spring barley accessions, which were characterized by 17 traits and 75 expression levels. The collection includes accessions from 11 countries; the largest number of accessions (59) are from Ukraine; 39 – from Russia; 10 - from Belarus; 10 - from Germany; 6 - from France; 5 - from Kazakhstan; 4 - from Canada; 3 - from the Czech Republic; 2 – from Great Britain; 1 accesson is from Serbia; and 1 - from Austria. Accessions combining high levels of expression of different traits are the most valuable. They include the following accessions: Doridnyi, Vodohrai, Sviatomykhailivskyi, Svarozhych, Soka, Іlot (UKR). Naked accessions include: Akhilles (UKR), Mayskiy, Oskar, Golozyornyy 1, Omskiy Golozyornyy 1 (RUS), CDC Alamo, CDC Candle (CAN). These varieties can be starting material for creation of new modern high-performance spring groats barley varieties. Ten valuable accessions registered with the NCPGRU (Sovіra, Doridnyi, Soka, Vodohrai, Partner, Yukatan, Avhii, Svarozhych, Baskak, and Virtuoz) were included in the trait groats collection. Conclusions. Basing on the results of multiyear studies, we formed the trait collection of spring groats barley comprising 140 accessions from 11 countries. The collection includes 55 reference accessions that cover 17 traits (plant height, vegetation period, ear length, grain weight per ear, 1000-grain weight, grain shape, grain evenness, vitreousness, culinary qualities of barley groats, etc.) characterized by 75 levels of their expression. The collection is of considerable value for science and education. The accessions selected allow improving the efficiency of breeding to create new varieties with high technological and culinary properties as well as with a set of valuable economic characteristics.

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

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