scholarly journals Karyotype and Growth Analysis of UV-induced Soybean (Glycine max L.)

2020 ◽  
Vol 2 (02) ◽  
pp. 121-128
Author(s):  
Elimasni
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Ultraviolet Light ◽  
Growth Analysis ◽  
Uv Light ◽  
Chlorophyll Concentration ◽  
Dry Weight ◽  
Uv Exposure ◽  
Glycine Max L ◽  
Number Of Leaves

Karyotype and growth analysis of Soybean (Glycine max L.) after exposed to Ultraviolet light had been done. The objective of this research was to investigate karyotype design and vegetative growth of soybean induced with UV light. The experiment was Completely Randomized Designed with 2 treatment factors. The first factor was Ultraviolet light by 3 levels: 10, 20 and 30 Watt and the second was the length of UV exposure by 3 levels: 5, 10, and 15 minutes. Each treatment was replicated 2 times and the plant that was not exposed to UV used as control. The karyotype was observed by squash method. The results showed that the intensity and duration of UV light has no effect on the number of chromosomes but the light has effect on the number of chromosomes type. Statistical analysis showed that the increase in UV energy up to 30 Watt and time exposure of 15 minutes, caused the increase on height, number of leaves, flowers, the fresh and dry weight of plant, and chlorophyll concentration compared to untreated plants.

scholarly journals Effect of water hyacinth compost on the morpho-physiological parameters of Soybean (Glycine max l.)

2021 ◽  
Vol 2 (1) ◽  
pp. 084-095
Author(s):  
Ogbuehi HC ◽  
Ibe PK
Keyword(s):  
Glycine Max ◽  
Leaf Area ◽  
Plant Height ◽  
Water Hyacinth ◽  
Seed Weight ◽  
Dry Weight ◽  
Effect Of Water ◽  
Shoot Dry Weight ◽  
Glycine Max L ◽  
Number Of Leaves

A pot experiment was conducted under rainfed condition to study the effect of water hyacinth compost on the morpho-physiological parameters of soybean (Glycine max L.) at the Teaching and Research Farm of Faculty of Agriculture and Veterinary Medicine, Imo State University, Owerri. The treatments were control (T1) 100g (T2), 150g (T3) and 200g (T4) of water hyacinth compost and replicated four times. The treatments were arranged in Complete Randomized Design (CRD). The parameters measured were plant height, number of leaves, leaf area (cm2), leaf area index, relative growth rate (RGR), Net assimilation rate (NAR), shoot dry weight(g), yield and yield components (Number of pods, pods weight, 100 seed weight). The results obtained indicated that T3 significantly produced highest plant height (57.6cm) compare to control. While it was observed that T4 (200g) significantly produced the highest number of leaves (233.25), leaf area (631.80cm2), shoot dry weight (15.445g), number of pods (129.75), pod weights (25.38g) seed weight (7.23g) and yield (0.72kg/ha) relative to control and other treatment levels. Root parameters were also significantly improved by the rates of water hyacinth application compared to control. It will be worthy to note that there was no nodulation perhaps that was why the yield was poor. The results showed that soybean growth can effectively be improved with incorporation of water hyacinth into soil.

scholarly journals PENGARUH PEMBERIAN LEGIN DAN PUPUK UREA TERHADAP PERTUMBUHAN DAN HASIL TANAMAN KEDELAI (Glycine max (L.) Merril)

2016 ◽  
Vol 10 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Eka Febriana Sari ◽  
Palupi Puspitorini ◽  
Tri Kurniastuti
Keyword(s):  
Glycine Max ◽  
Block Design ◽  
Research Result ◽  
Dry Weight ◽  
Urea Fertilizer ◽  
Randomized Block Design ◽  
Two Factors ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
Seed Data

The research aims to determine of the effect application legin and urea fertilizer to growth and result of soybean (Glycine max (L.) Merr.). The research held in June until August 2016 in the Menjangan Kalung, Slorok village, Garum, Blitar. This research used method was Split Split Plot Randomized Block Design factorial pattern of two factors and three replications. This first factor was dose legin (L) consisted three level namely : dose 3 g kgˉ¹ (L1), dose 5 g kgˉ¹ (L2), and 7 g kgˉ¹(L3). The second factor was dose urea fertilizer (U) consisted four level namely : Without urea fertilizer (U0), 10 kg haˉ¹(U1), 20 kg haˉ¹(U2), and 30 kg haˉ¹(U3). Observation parameters is plant height, number of leaves, the number of nodules, number of pods, number of empaty pods, number of pods, and dry weight of 100 seed. Data were analyzed with used analysis of variance , if take effect fellowed with LSD. Research result to show that: 1)The best interaction is teratment combination L2U2 that don ’t real different with treatment L2U3, L2U1 and L2U0. 2) Application doselegin 5 g kgˉ¹ in alone is the best treatment that result highest averagely with percentage 25.48% appealed with application dose legin 3 g kgˉ¹ and 7 g kgˉ¹. 3) Application doselegin 5 g kgˉ¹ in alone is the best treatment that result highest averagely with percentage 6.58% appealed with application dose fertilizer urea 0 kg haˉ¹, 10 kg haˉ¹ and 30 kg haˉ¹.

PENGARUH PEMBERIAN LEGIN DAN PUPUK UREA TERHADAP PERTUMBUHAN DAN HASIL TANAMAN KEDELAI (Glycine max (L.) Merril)

2016 ◽  
Vol 10 (1) ◽  
pp. 20-36
Author(s):  
Eka Febriana Sari ◽  
Palupi Puspitorini ◽  
Tri Kurniastuti
Keyword(s):  
Glycine Max ◽  
Block Design ◽  
Research Result ◽  
Dry Weight ◽  
Urea Fertilizer ◽  
Randomized Block Design ◽  
Two Factors ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
Seed Data

The research aims to determine of the effect application legin and urea fertilizer to growth and result of soybean (Glycine max (L.) Merr.). The research held in June until August 2016 in the Menjangan Kalung, Slorok village, Garum, Blitar. This research used method was Split Split Plot Randomized Block Design factorial pattern of two factors and three replications. This first factor was dose legin (L) consisted three level namely : dose 3 g kgˉ¹ (L1), dose 5 g kgˉ¹ (L2), and 7 g kgˉ¹(L3). The second factor was dose urea fertilizer (U) consisted four level namely : Without urea fertilizer (U0), 10 kg haˉ¹(U1), 20 kg haˉ¹(U2), and 30 kg haˉ¹(U3). Observation parameters is plant height, number of leaves, the number of nodules, number of pods, number of empaty pods, number of pods, and dry weight of 100 seed. Data were analyzed with used analysis of variance , if take effect fellowed with LSD. Research result to show that: 1)The best interaction is teratment combination L2U2 that don’t real different with treatment L2U3, L2U1 and L2U0. 2) Application doselegin 5 g kgˉ¹ in alone is the best treatment that result highest averagely with percentage 25.48% appealed with application dose legin 3 g kgˉ¹ and 7 g kgˉ¹. 3) Application doselegin 5 g kgˉ¹ in alone is the best treatment that result highest averagely with percentage 6.58% appealed with application dose fertilizer urea 0 kg haˉ¹, 10 kg haˉ¹ and 30 kg haˉ¹.

scholarly journals RESPON PERTUMBUHAN, PRODUKSI DAN KADAR FOSFOR DAUN TERHADAP PEMBERIAN DOLOMIT DAN PUPUK NPK PADA KACANG KEDELAI (GLYCINE MAX (L.) MERRIL) PADA TANAH ULTISOL

2021 ◽  
Vol 2 (2) ◽  
pp. 150-173
Author(s):  
Samse Pandiangan ◽  
Bangun Tampubolon ◽  
Benika Naibaho ◽  
Jualiana Lumbangaol
Keyword(s):  
Glycine Max ◽  
Plant Height ◽  
Seed Production ◽  
Block Design ◽  
Dry Weight ◽  
Npk Fertilizers ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
Npk Fertilizer ◽  
Phosphorus Levels

The objectives of this study was to observe the effect of dolomite and NPK fertilizer application on growth,  yield and leaf phosphorus levels of soybeans (Glycine max (L.) Merril) due to the application of dolomite and NPK fertilizers. This research was conducted from June 2019 to December 2019, at the Experimental Station of Agriculture Faculty of University of HKBP Nommensen Medan in Simalingkar B Village, Medan Tuntungan District at an altitude of ±33m above sea level. Soil type Ultisol with Tex-sand 43.75%, Tex-dust 42.18%, Tex-clay 14.07; pH 4.63; cation exchange capacity (CEC) 14.64%, Ptotal 0.10%, N kjehldahl 1.9% K-exch 0.20%, Ca-exch 1.32%, Mg-exch 0.92%. This research was arranged in a factorial randomized block design (RAK) with 2 treatment factors, namely, the first factor was dolomite (D) which consisted of 3 levels, namely: D0 = 0 g/polybag, D1 = 11.2 g/polybag, D2 = 22.4 g/polybag. The second factor was NPK fertilizer (N), which consisted of 4 levels, namely: N0 = 0 g/polybag, N1 = 1.5g/polybag, N2 = 3 g/polybag and N3 = 4.5g/polybag.  Parameters observed were plant height, number of leaves, number of pods, number of filled pods, weight of filled pods, dry seed production per plant, dry weight of 100 seeds and leaf phosphorus levels. The results showed that dolomite application had a very significant effect on the number of pods, number of filled pods, weight of filled pods, dry seed production per plant, dry weight of 100 seeds, but had no significant effect on plant height, number of leaves and leaf phosphorus levels. The application of NPK fertilizer had a very significant effect on the number of pods, number of filled pods, dry seed production per plant, dry weight of 100 seeds but had no significant effect on plant height, number of leaves, weight of filled pods and leaf phosphorus content. The interaction of dolomite and NPK fertilizer had no significant effect on all observed parameters.

scholarly journals Growth Performance and Productivity of Several Soybean Genotypes (Glycine max L. Merr.) Cultivated at High Altitude Areas in Indonesia.

2021 ◽  
Vol 8 (01) ◽  
pp. 1-7
Author(s):  
Iskandar Lubis ◽  
Ian Surya Fitra Atmaja ◽  
Tri Koesoemaningtyas ◽  
Munif Ghulamahdi ◽  
Heni Purnamawati ◽  
...  
Keyword(s):  
Glycine Max ◽  
High Altitude ◽  
Dry Weight ◽  
The United States ◽  
Growth Duration ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
High Yields ◽  
Impacts Of Climate Change

The low productivity of soybeans (Glycine max) and the impacts of climate change have led to the need for adaptive varieties to high altitude to produce high yields. In this study, nine soybean genotypes from different geographic regions, tropical and subtropical, were tested. The aim of the research was to investigate the growth and productivity of different genotypes of soybean when grown in high-altitude environment. Results showed that the tropical genotypes, “Tanggamus” and “SC-1-8” from Indonesia, “Manshuu-masokutou” from China, and “San Sai” from Thailand, had longer growth duration than the subtropical genotypes, “Enrei” and “Fukuyutaka” from Japan,  “Stressland” and “Ht-2” from the United States, and “Hakubi” from China. Tropical genotypes have greater growth values than subtropical genotypes as shown by taller plants, greater number of leaves and dry weight. Among the tropical genotypes, “SC-1-8”, which is a soybean line from IPB, showed the best growth rates and competitive crop yield, making it a potentially good candidate for high yielding soybean in Indonesia.

scholarly journals RESPONSE OF SOYBEAN PLANT TO INOCULATION OF ARBUSCULAR MYCORRHIZAE AND APPLICATION OF PHOSPHORUS FERTILIZER ON ACIDIC SOIL

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Ilham Fahrizal ◽  
Arifah Rahayu ◽  
Nur Rochman
Keyword(s):  
Glycine Max ◽  
Plant Height ◽  
Arbuscular Mycorrhizae ◽  
Dry Weight ◽  
Soybean Plant ◽  
Phosphorus Fertilizer ◽  
Fresh Weight ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
Weight Number

The study was aimed at assessing the response of soybean plant (Glycine max L.) to inoculation of arbuscular mycorrhizae and application of phosphorus fertilizer on acidic soil. The study was conducted from February to June 2013. A factorial completely randomized design was used. The first factor was inoculation  of mycorrizhae consisting of two levels, namely no inoculation and mycorrizhae inoculation of 10 g/plant. The second factor was the application of phosphorus fertilizer in four levels, namely 0 kg SP-36/ha, 100 kg SP-36/ha, 200 kg SP-36/ha, and 300 kg SP-36/ha. Results showed that soybean plant given no mycorrhizae of 10 g/plant had higher plant height at 3 weeks after planting (WAP) than those given no mycorrhizae. The application of phosphorus fertilizer was found to give significant effects on plant height at 4-7 WAP, number of leaves at 6 WAP, trunk diameter, root  length, number of productive branches, fresh and dry weight of roots, fresh and dry weight of root nodes, age at first flowering, number of root nodes, leaf width, pod dry weight, number of one seeded pods and three seeded pods. It was also found that the interaction between inoculation of arbuscular mycorrhizae and application of phosphorus fertilizer gave significant effects on number of leaves at 7 WAP, canopy dry and fresh weight, pod fresh weight, number of two seeded pods, total plant fresh and dry weight, total dry seed weight, number of total pods, and number of seeded pods.Key words: Glycine max L., root nodes, pod dry weight, seeded pods

scholarly journals Pertumbuhan dan Hasil Kedelai di Lahan Rawa Lebak dengan Aplikasi Pupuk Hayati dan Kimia

2018 ◽  
Vol 45 (3) ◽  
pp. 263
Author(s):  
Endriani , ◽  
Munif Ghulamahdi ◽  
Dan Eko Sulistyono
Keyword(s):  
Glycine Max ◽  
Soil Fertility ◽  
Block Design ◽  
Randomized Block Design ◽  
National Production ◽  
Glycine Max L ◽  
Number Of Leaves ◽  
Four Levels ◽  
P Fertilizers ◽  
Number Of Branches

Soybean (Glycine max L. Merrill) demand is high in Indonesia, however national production is low, therefore improving productivity is important. The research was aimed to determine the effect of application of biofertilizer containing N- fixing and P- solubilizing bacteria on the growth and production of soybean in lowland swamp. The experiment was conducted  at  Labuhan Ratu VI Village, District of Labuhan Ratu, East Lampung Regency from September to December 2014. The experiment was arranged in factorial randomized block design with three replications. N and P fertilizers were applied in four levels. Doses of N were 0, 11.25, 22.50, 33.75 kg ha-1, doses of P were 0, 36, 72, 108 P2O5 kg ha-1, in combination with and without biofertilizer application. The results showed that interaction between biofertilizer and N significantly affected number of branches and number of leaves at maximum vegetative phase. The influence of three types of fertilizer had no significant effect on the productivity of soybean in lowland swamp with soil pH of 7.0 and medium soil fertility. It is recommended to apply Biofertilizer + 11,25 kg N ha-1 + 36 kg P2O5 ha-1 to obtain high soybean production in lowland swamp area.<br /><br />Keywords: nitrogen, phosphate, productivity, soil fertility<br /><br />

scholarly journals Respon beberapa varietas Kedelai (Glycine max L. Merr) terhadap tingkat salinitas air penyiraman

2018 ◽  
Vol 2 (1) ◽  
pp. 43 ◽  
Author(s):  
Sheila Rahma Yunita ◽  
Sutarno Sutarno ◽  
Eny Fuskhah
Keyword(s):  
Glycine Max ◽  
Factorial Design ◽  
Salinity Level ◽  
Plant Production ◽  
Water Salinity ◽  
Glycine Max L ◽  
Growth Production ◽  
Salinity Water ◽  
Number Of Leaves ◽  
Different Levels

The objective of this research was to study the hardiness of several soybean varieties to different levels of salinity water and to find out  the effect of salinity on soybean growth and production. This research was conducted in Greenhouse and Laboratory of Ecology and Plant Production at Faculty of Animal and Agricultural Sciences, Diponegoro University from February to May 2017. The research was arranged using completely randomized factorial design with the first factor was soybean varieties (Dering 1, Demas 2, and Devon 3) and the second factor was water salinity level (0 dS/m, 3 dS/m, 6 dS/m and  9 dS/m). The result showed that the treatment of 3 dS/m water salinity level did not affect at plant height and number of leaves until 4th week. However salinity of 6 and 9 dS/m decreased the height and number of leaves from all varieties. Salinity level of 3, 6 and 9 dS/m decreased the number of pod, weight of pod and 100 seeds weight from all verieties. Dering 1 yielded 100 seeds weight heavier than Demas 1 and Devon 1.Keywords : growth, production, salinity, soybean.

scholarly journals EMERGÊNCIA E SOBREVIVÊNCIA DE PLANTAS DE SOJA A CAMPO EM RELAÇÃO ÀS PROFUNDIDADES E ÉPOCAS DE SEMEADURA

2020 ◽  
Vol 35 (2) ◽  
pp. 150-157
Author(s):  
Patrícia Pereira Dias ◽  
Saulo Fernando Gomes de Sousa ◽  
Paulo Roberto Arbex Silva ◽  
Tiago Pereira da Silva Correia ◽  
Anderson Ravanny de Andrade Gomes
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Field Experiment ◽  
Analysis Of Variance ◽  
Early Stage ◽  
Soybean Seed ◽  
Sowing Depth ◽  
Tukey Test ◽  
Glycine Max L ◽  
Soil Deposition

A PROFUNDIDADE DE SEMEADURA DA SOJA NA PLANTABILIDADE   PATRÍCIA PEREIRA DIAS1*, SAULO FERNANDO GOMES DE SOUSA2, PAULO ROBERTO ARBEX SILVA3, TIAGO PEREIRA DA SILVA CORREIA4 e ANDERSON RAVANNY DE ANDRADE GOMES5   * Parte do texto foi extraído da tese da autora 1 Departamento de Produção Vegetal, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’ - Av. Universitária, 3780 - Altos do Paraíso, 18610-034, Botucatu - SP, Brasil. [email protected] 2 Agroefetiva, Rua Lourival Ferreira, 11 - Distrito Industrial III, 18608-853, Botucatu - SP, Brasil.  [email protected] 3 Departamento de Engenharia Rural e Socioeconomia, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’ - Av. Universitária, 3780 - Altos do Paraíso, 18610-034, Botucatu - SP, Brasil.  [email protected] 4 Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Caixa - Campos Universitário Darci Ribeiro ICC – Asa Norte, 04508, Brasília - DF, Brasil. [email protected] 5 Faculdade Regional da Bahia, Rodovia AL 220, 3630 - Senador Arnon De Melo - Planalto, Arapiraca – AL, Brasil. [email protected]   RESUMO: O objetivo deste trabalho foi avaliar a cultura da soja semeada a campo em diferentes profundidades das sementes e épocas de semeadura e, dessa maneira, saber o quanto esses fatores influenciam a emergência e sobrevivência das plantas. O experimento foi conduzido em dois anos agrícolas, 2015/16 e 2016/17, com sementes de soja cultivar 5D634, na Fazenda Lageado, da Faculdade de Ciências Agronômicas – UNESP, Botucatu (SP), Brasil. O delineamento foi de blocos ao acaso em esquema fatorial 6 × 2, com seis tratamentos referentes às profundidades das sementes na mesma linha de semeadura: 0,02, 0,05 e 0,08 m do nível do solo, e combinação e alternância entre eles: 0,02 e 0,05, 0,02 e 0,08, 0,05 e 0,08 m e duas épocas de semeadura: outubro e novembro, com quatro repetições, totalizando 48 parcelas. Para a análise estatística, os dados foram submetidos à análise de variância (ANOVA), utilizando o teste de Tukey a 5% de probabilidade. A perda foi acima de 10% no estande de plantas na semeadura mais profunda (0,08 m), aliada à menor precipitação (outubro/2016), que contribuiu significativamente para esse resultado. Desta forma, a plantabilidade é prejudicada com o erro da profundidade de semeadura, aqui representada pela emergência e sobrevivência de plantas.   Palavras-chave: Glycine max L., Plantabilidade, Estande de plantas.   THE SOYBEAN SOWING DEPTH IN PLANTABILITY   ABSTRACT: The aim of this work was evaluate the sowing of soybean seed with error in soil deposition and different month of sowing. The field experiment was carried out during two years (2015 and 2016) at Fazenda Lageado, Faculty of Agronomic Sciences - UNESP / Botucatu - SP, Brazil. The plots were randomized blocks in 6 × 2 factorial, six treatments referring to the depth of the seeds in soil: 0.02 (T1); 0.05 (T2 - control) and 0.08 (T3); 0.02 and 0.05 (T4); 0.02 and 0.08 (T5); 0.05 and 0.08 m (T6) and two sowing times: October and November. For statistical analysis the data were submitted to analysis of variance (ANOVA) using Tukey test at 5% probability. The number of plants in early stage decreased by over 10% in the deep seeding (0.08 m), added to the less rainfall (October / 2016) which contributed significantly to this result. Therefore, plantability is damaged by the error of sowing depth, represented here by the emergence and survival of plants.   Keywords: Glycine max L., Plantability, Early stage.

Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China

2017 ◽  
Vol 9 (5) ◽  
pp. 792-802 ◽  
Author(s):  
Hai-jun Wu ◽  
Jun-cai Deng ◽  
Cai-qiong Yang ◽  
Jing Zhang ◽  
Qing Zhang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Metabolite Profiling ◽  
Southwest China ◽  
Geographical Origin ◽  
Soybean Seeds ◽  
Geographical Differentiation ◽  
Multivariate Statistical ◽  
Black Soybean ◽  
Glycine Max L

Twelve isoflavones and eight anthocyanins were quantified in black soybean seeds by HPLC-MS analyses; the coupled OPLS-DA multivariate statistical analysis helped us to determine their geographical origin.

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