THE EFFECT OF ADDITIVE COMBINATION AND Azotobacter sp. TOWARDS Glycine max. L. GROWTH

2019 ◽  
Vol 24 (2) ◽  
pp. 97-107
Author(s):  
Yunia Vella Alfani ◽  
Pudjawati Suryatmana ◽  
Ade Setiawan

This study was aimed at determining the increasing of growth and production of soybean crops by giving Azotobacter sp. and additive materials such as coconut water, molasses, and bran. This research was conducted on Januari 2018 to April 2018 at Ciparanje Experimental Field Faculty of Agriculture. Universitas Padjadjaran, Jatinangor, Sumedang, West Java Province, on ± 774 meters above sea level (asl) using single factor randomized block design with 10 treatments; Azotobacter sp. and additive materials combination such as coconut water, molasses, and bran in three repetitions. The observations on the parameters observed in the final vegetative phase were on plant height, chlorophyll content, and population of Azotobacter sp. using Total Plate Count (TPC) method.The results show that the application of combination additives materials and Azotobacter sp. effect on populations Azotobacter sp., chlorophyll content, plant height and number of soybean pods (Glycine max L.). Application of coconut water independently, water added with Azotobacter sp., and combination of additive with Azotobacter sp. can give the best effect to the content of chlorophyll, plant height, and soybean crops components (Glycine max. L.).PENGARUH KOMBINASI BAHAN ADITIF DAN Azotobacter sp. TERHADAP PERTUMBUHAN Glycine max. L.Penelitian ini bertujuan untuk mengetahui pertumbuhan dan produksi tanaman kedelai dengan memberikan Azotobacter sp. dan aditif air kelapa, molase, serta dedak. Penelitian ini dilaksanakan pada Januari 2018-April 2018 di Kebun Percobaan Ciparanje Fakultas Pertanian Universitas Padjadjaran, Jawa Barat pada ± 774 meter di atas permukaan laut (dpl). Penelitian ini menggunakan rancangan acak kelompok dengan 10 perlakuan pemberian Azotobacter sp. dan aditif air kelapa, molase, serta dedak dengan tiga ulangan. Pengamatan terhadap parameter yang diamati pada fase vegetatif akhir yaitu tinggi tanaman, kandungan klorofil, dan populasi Azotobacter sp. dengan metode Total Plate Count (TPC). Hasil penelitian menunjukkan aplikasi kombinasi bahan aditif dan penambahan pupuk hayati Azotobacter sp. berpengaruh terhadap populasi Azotobacter sp., kadar klorofil, tinggi tanaman dan jumlah polong tanaman kedelai (Glycine max L.). Aplikasi air kelapa secara mandiri, air kelapa yang ditambahkan dengan Azotobacter sp., dan kombinasi bahan aditif dengan Azotobacter sp. dapat memberikan pengaruh terbaik terhadap kandungan klorofil, tinggi tanaman, dan komponen hasil tanaman kedelai (Glycine max. L.). 

2019 ◽  
Vol 7 (2) ◽  
pp. 146
Author(s):  
Syariani Br. Tambunan ◽  
Afkar Afkar

This study aims to determine the growth of various soybean varieties on Ultisol soil, especially on Ultisol soils in Kutacane. The study was conducted in Gulo Village, Darul Hasanah District, Southeast Aceh Regency, Aceh Province with hilly topography, from May to September 2019 at an altitude of 3200 asl. The study used a Non Factorial Randomized Block Design (RBD), with 4 treatment varieties (V) repeated in 4 replications with 63 plants per plot with 7 samples per plot. The plot size  is 3 m x 2 m with 30 x 20 cm spacing. The total number of plants was 1008, while the total number of sample plants was 112 plants. There are 4 soybean varieties: (V1) Anjasmoro, (V2) Dena1, (V3) Deja 1, and  (V4) Detap 1. The parameters observed in this study during vegetative period include plant height at 1, 2, 3, 4, 5, and 6 week after planting. The plant height were measured from the base of the stem to the highest leaf. The result is that each variety has a different response to the environment so that the growth, flowering period, and harvest period are also different on Ultisol soil especially in District of Southeast Aceh.


SoilREns ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Pujawati Suryatmana ◽  
Silmi Rahadiana Putri ◽  
Nadia Nuraniya Kamaluddin ◽  
Mieke Rochimi Setiawati

Azospirillium is a genus of non-symbiotic N fixer bacteria, known as a biological fertilizer inoculant. The quality of Azospirillum sp. inoculant often decrease when applied outside its original habitat. Therefore, it is necessary to maintain the viability and increase its effectiveness. One way that can be done is by adding organic material as additives as a source of energy for bacteria. Potential organic materials can be used as additives to stimulate the viability, activity and effectiveness of Azospirillium sp. are coconut water, molasses and bran. The organic material contained elements such as C, N and P as the source of nutrients for Azospirillium sp. which was inoculated in Soybean (Glycine max L.) plants. This experiment aimed to examine the effect of additive application on Azospirillum sp. population, root nodules, and seed weight of soybean plants (Glycine max L.) on Jatinangor Inceptisols. The experimental design used was Randomized Block Design (RBD) consisted of combination between of Azospirillum sp. and additives type, namely molasses, coconut water and bran. The results showed that the application of a mixture of bran, molasses, and coconut water attracted the population of Azospirillum sp. higher than the control treatments. Meanwhile molasses, coconut water, and additive mixtures have the potential to increase the number of root nodules and soybean pods yields. Coconut water, molasses and bran are organic materials that have the potential as additives that stimulate the activity and increase the population of Azospirillium sp. and soybean pods.


Agrotek ◽  
2018 ◽  
Vol 4 (7) ◽  
Author(s):  
Dwiana Wasgito Purnomo ◽  
Yohanis Amos Mustamu

<em>The purpose of this study was to determine adaptation of some varieties of soybean high yield on dry land contained in Prafi Mulya SP-1, Manokwari District, which was conducted in October-December 2014. This study used a randomized block design (RAK) with 9 treatment (varieties Grobogan, Pearl, Anjasmoro, Detam-2, Burangrang, Agromulyo, Pangrango, Tanggamus and Local Prafi) were repeated 3 times, thus obtaining 27 experimental units. Data were analyzed by F test at 5% and 1% if significantly different then continued with DMRT. Results of analysis of variance showed that significant effect on plant height, number of branches, total pods, empty pods, pods and seed dry weight of 100.</em>


2018 ◽  
Vol 45 (3) ◽  
pp. 263
Author(s):  
Endriani , ◽  
Munif Ghulamahdi ◽  
Dan Eko Sulistyono

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 />


2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Ridwan Kusuma ◽  
Nyimas Sa’diyah ◽  
Yayuk Nurmiaty

Soybean consumption here in Indonesia continues to increase each year that is notaccompanied by an increase in soybean production. One way to increase soybeanproduction by using improved varieties. The purpose of this study were (1) Estimating thevalue of the diversity of phenotypes soy F6 generations from crosses between Wilis x Mlg2521,(2) Estimating the heritability estimates soybean F6 generations from crosses Wilis x Mlg2521,(3) Know the numbers expectation of F6 generation crosses Wilis x Mlg2521. The researchwas conducted from March 2014 until June 2014 at the Land Lab Lampung StatePolytechnic and observations made in Laboratory of Seed and Plant Breeding, University ofLampung. Soybean seeds used were F6 generation zuriat from Wilis x Mlg2521, Wilis andMlg2521. The treatment laid out in a randomized block design, 2 replications. The resultsshowed that (1) The diversity of phenotypes population F6 for characters date of flowering,harvesting age, plant height, number of productive branches, total number of pods plant,weight of 100 grains, grain weight plant and number of seeds plant including all the broadcriteria, (2) The value of heritability estimates the population F6 for characters date offlowering, harvesting age, plant height, number of productive branches, total number ofpods plant, weight of 100 grains, grain weight per plant and number of seeds plantbelonging to the high criteria, (3) Number expectations of the population F6 is 7-64-1-8 and7-64-1-3.Keywords: heritability, phenotypic variance, soybean


2017 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Siti Rodiah ◽  
Zulfatunnisa Zulfatunnisa ◽  
Sumadi Sumadi ◽  
Anne Nuraini ◽  
Meddy Rachmadi ◽  
...  

The variation of the seed size in each species and individuals might be from of difference species adaptation for  a difference environment. This difference may also arise from the constraints of limited formation of seed size. The use of adaptive ciltivars on the growth environment is very influential on the succes in the farm field. This research was aimed to find the adaptation of phase and size seed of two cultivars of soybeans in Jatinangor and Cikajang. This research was held in Jatinangor (Sumedang regency) and Cikajang (Garut regency) from April to July 2016. The design that used in this research was Randomized Block Design (RBD) and Duncan at 5% rate. Improved cultivars that tested in this research were placed at Grobogan and Anjasmoro which were repeated 5 times. The results of experiment showed that adaptation of size seed showed of 100 grains and large seeds. The low temperature condition can increase of variability of seed size. Heterogeneity of environment can not sustain the size of soybean seed. Genetic and environment factors influence significantly for weight of 100 grains and seed size Grobogan in Jatinangor. The weight of 100 grains Grobogan in Jatinangor and Cikajang haved a greater than Anjasmoro. Environmental factors influence yield of soybean, weight of 100 grains of cultivars in Cikajang haved a greater than Jatinangor caused by the seed size.


2020 ◽  
Vol 8 (3) ◽  
pp. 63
Author(s):  
Priscila Pereira Sacramento ◽  
Letícia Cunha da Hungria ◽  
Jamil Chaar El-Husny ◽  
Luis De Souza Freitas

The aim of this study was to evaluate the influence of planting density and cultivar of soybean on yield components in the southeast Amazon. The experiment was carried out in an Oxisol, with a randomized block design in a 2 x 4 factorial scheme. The treatments were two soybean cultivars (BRS 9090 RR and BRS 8990 RR) and four planting densities (13, 15, 18 and 20 plants m-1), with three replications. First pod insertion height (IFP), plant height (H), number of pods per plant (NPP), grain yield (Y) and weight of 100 grains (W100) were evaluated. The insertion height of the first pod showed a tendency of increase with the increment of plants per linear meter for cultivar BRS 8990 RR, different of the behavior observed for the cultivar BRS 9090 RR, which only showed difference when the density of 300.000 plants ha-1 was tested. For plant height, among soybean cultivars, there was only difference in D400, with BRS 8990 RR showing a maximum height of 83.3 cm, 21% higher than BRS 9090 RR. When evaluated under D350, BRS 8990 RR showed an increase of 13% in the number of pods compared to BRS 9090 RR. Both cultivars showed linear behavior for the grain yield, increasing according the plant population, with the highest grain yield obtained under the density of 400.000 plants ha-1 (4527.3 kg ha-1). The weight of 100 grains was not influenced by any variation factor.


2018 ◽  
Vol 17 (2) ◽  
pp. 274
Author(s):  
RICARDO FRANCISCHINI ◽  
ALESSANDRO GUERRA DA SILVA ◽  
DAURI JOSÉ TESSMANN

 RESUMO - O objetivo do trabalho foi avaliar o desempenho agronômico e econômico na cultura do milho verde submetida ao uso de bioestimulantes na presença e ausência de fungicida. Dessa forma, dois experimentos foram conduzidos em anos distintos, em delineamento experimental de blocos ao acaso com três repetições, em arranjo fatorial 4x2. O primeiro fator correspondeu à combinação de bioestimulantes (Ausência, MC Cream, MC Extra, MC Cream+MC Extra) e o segundo fator à presença e ausência de fungicida (piraclostrobina + epoxiconazole). Foi avaliado o peso de espigas verdes, a altura de plantas, diâmetro de colmo, teor de clorofila e severidade de doenças, além da viabilidade econômica dos tratamentos. Os Bioestimulantes, na ausência de fungicida, foram eficientes para aumentar o peso das espigas verdes, altura de plantas, e o teor de clorofila. Na presença do fungicida os bioestimulantes aumentaram o diâmetro de colmo e reduziram a severidade de doenças. Os investimentos em insumos elevaram os custos de produção, porém a rentabilidade foi compensada pelo aumento da renda bruta. Em situação de baixa disponibilidade hídrica, o bioestimulante MC Extra foi o mais viável economicamente para a cultura do milho verde.Palavras-chave: fitossanidade, produtividade, renda líquida, Zea mays L. EFFICIENCY OF BIOSTIMULANTS AND FUNGICIDE IN THE AGRONOMIC AND ECONOMIC CHARACTERS OF GREEN CORN  ABSTRACT – The objective of this work was to evaluate the agronomic and economic performance of the green corn crop, subjected to the use of biostimulants in the presence and absence of fungicide. Two experiments were conducted in different years using a randomized block design with three replications, in a 4x2 factorial arrangement. The first factor corresponded to the combination of biostimulants (Absence, MC Cream, MC Extra, MC Cream + MC Extra) and the second factor was the presence and absence of fungicide (pyraclostrobin + epoxiconazole). Green ear weight, plant height, stem diameter, chlorophyll content and severity of diseases were evaluated, as well as the economic viability of the treatments.In the absence of fungicide, biostimulants were efficient to increase the green ear weight, plant height, and chlorophyll content. In the presence of the fungicide, biostimulants increased stem diameter and reduced disease severity. Investments in inputs increased production costs, but profitability was offset by the increase in gross income. In a situation of low water availability, the biostimulant MC Extra was the most economically viable for the green maize crop.Keywords: plant health, productivity, net income, Zea mays L.


SoilREns ◽  
2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Anni Yuniarti ◽  
Yuliati Machfud ◽  
Eso Solihin ◽  
Yogi Sudirman ◽  
Apong Sandrawati

Inceptisol is a widespread soil order with low fertility. Hence it is necessary to improve its quality status through the application of chemical and biological fertilizers. The main objecttive of this study is to determine the effect of NPK fertilizer and biofertlizer consortia (BC) combinations in Inceptisols towards N and P availability in soil and uptake by soybean (Glycine max L.). Experiments were carried out from April to August 2016 at Ciparanje Experimental Farm, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, Sumedang at the approximate altitude of 720 meters above the sea level. Randomized Block Design experimental design consisted of ten treatments and three replications was used in this study. Treatments consisted of control (no treatment), Recommended NPK dosage, 0 NPK + 1 BC, ¼ NPK + 1 BC, ½ NPK + 1 BC, ¾ NPK + 1 BC, 1 NPK + 1 BC, ¾ NPK + ¼ BC, ¾ NPK + ½ BC and also ¾ NPK + ¾ BC. Experimental results showed that the combination of NPK fertilizer and soybean-spesific biofertilizer consortium increased soil total phosphate content,  nitrogen uptake by plant, and soyben yield significantly.  Keywords: Biofertilizer, Soybean, total-N, Uptake of N, Inceptisols


Jurnal BIOMA ◽  
2014 ◽  
Vol 10 (2) ◽  
pp. 41 ◽  
Author(s):  
Priskilla Purnaning Putri ◽  
Adisyahputra Adisyahputra ◽  
Asadi Asadi

Abstract Soybean (Glycine max L.) is annual crop that have high morphologies and yield components diversity. The research was conducted at the first season of 2011, the objective of the research were to find morphological, yield, and yield component of Soybean germplasm (Glicine max L.). The research was carried out at experimental station BB-BIOGEN Citayam, Depok, and laboratory of Gene Bank BB-BIOGEN. The experiment used randomized block design with 100 different accessions and three replications for each accession. Based on the observation, the morphological characters have many visual forms. They are as follows: growth percentage in which 19.33 – 99%; growth types were determinate and indeterminate, the leave form was triangle to sharp; purple and white flowers; yellow and black seeds color. The range of values for each characteristic component are as follows: plant height 29,23 – 104,25 cm; number of pods per plant was 23,6 – 99,82; flowering time 33 – 47 days after planting; 100 seed weight 5,98 – 20,77 gram; maturing time 75 – 96,67 days after planting; root nodule’s weight 0,004 – 0,109 gram; seed’s weight 3,15 – 11,45 gram/plant. Among the accessions, the highest yield was shown by B 4323 (643,27 gram/3,6 m2). Significant correlation was shown between soybean’s yield components and yield which were plant’s height, growth percentage, numbers of main stem’s node, numbers of pods, seeds weight for each plant and root nodule’s weight. 100 seeds weight showed significant negative correlation with soybean components.   Key words: germplasm, morphological characteristics, soybean, yield components


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