scholarly journals Evaluation of physiological characteristics of curcuma (Curcuma xanthorhizha Roxb.) on various intercropping patterns with soybean [Gglycine max (L.) Merrill]

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Ellis Nihayati ◽  
Deffi Armita ◽  
Binti Rulliyah

Purpose of this research was to get the best planting pattern on Curcuma (Curcuma xanthorrhiza Roxb. Synm. Curcuma javanica) and soybean (Glycine max (L.) Merrill) related to plants production, land equivalent ratio (LER) and R/C ratio. This research used the randomized block design involving six treatments and four replications. The growth pattern and yield of curcuma were based on the following parameters: length of plant, number of leaf, broad of leaf, fresh and dry weight of leaves, curcuma root and rhizome, LER (land equivalent ratio) and R/C ratio within six months from December 2015 to June 2016. The treatment difference was based on the LSD5%. The result showed that curcuma planted one month earlier under narrow spacing and bigger soybean population (strip relay, T-K)) suggested a longer growth than any other plating patterns. On the contrary, curcuma planted one month earlier under wide spacing and fewer number of soybean plants (row relay, T-K) suggested a better growth than others and resulting in the highest curcuma yield, lower soybean yield, LER=1.09 dan R/C=2.36.

Author(s):  
Titik Sundari ◽  
Dan Siti Mutmaidah

<p>Intercropping is one way of increasing land productivity. The research was aimed to determine the suitability of soybean promising lines for maize + soybean intercropping based on land productivity assessed by land equivalent ratio (LER). The research was conducted at Kendalpayak Station Research, Malang, in February to May 2016, using factorial randomized block design, repeated three times. The first factor was cropping system (monoculture and intercropping), the second factor was 55 soybean genotypes. Spacing for maize in the intercropping system was 2.2 m x 0.5 m x 0.2 m, and for soybean was 0.35 m x 0.10 m. In monoculture, spacing for maize was 0.75 m x 0.25 m and for soybean was 0.35 m x 0.10 m. The results showed there was five genotypes suitable for intercropping of maize + soybean based LER value, ie G//IT7-3, M0706//MI196-3, M0706//MI197-4, M0706//MI199-1, and M0706//MI199-2, with LER value of more than 1. Intercropping of maize with these soybean lines, gives a higher land productivity than monoculture.<br /><br />Keywords: Glycine max (L.) Merrill genotype, monoculture, land equivalent ratio, Zea mays <br /><br /></p>


AGRICA ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 96-105
Author(s):  
Murdaningsih Murdaningsih ◽  
Marsianus Nate Ugha

This research aims to know the effect as well as the optimum rates of manure of urine cow bio to the growth and yield of the soybean plant. The design used in this study was Randomized Block Design and the treatment used is U0 (without bio urine manure), U1 (1375 litres of bio urine manure ha-1 or 550 ml plots-1), U2 (bio urine manure of 2750 litre ha-1 or 1100ml plots -1), U3 (bio urine manure 4125 litre ha-1 or 1650 ml plot-1), and U4 (bio urine manure of 5500 litre ha-1 or 2200 ml plot-1). Variable observation in this study is the height of the plant 33.8 cm, leaf number 2.90 strands, leaf area 1.17cm2, the weight of fresh residues tan-114,74 gr, dry oven weight of residue tan-1 15.50 gr, dry oven weight of residue  ha-1 15.50kg, the number of pods 9.44 soybean, weight of 100 grain of soybean 1 0.91 gr, the weight of the seed tan-110.30 gr, seed dry weight ha-110, 30 kg, harvest index of 4.88 and optimum dosage of the manure of urine cow bio is 5500 litres ha-1 can increase the growth and yield of soybeans.


2016 ◽  
Vol 35 (3) ◽  
pp. 217 ◽  
Author(s):  
Bachtiar ◽  
Munif Ghulamahdi ◽  
Maya Melati ◽  
Dwi Guntoro ◽  
Atang Sutandi

Development of soybean (Glycine max (L) Merr.) in tidal land are faced with problems physical, chemical and biological soil properties, such as high organic matter, high soil acidity, toxicity of Fe and Al, and deficiency of nutrients N, P , K, Ca and Mg. N content is high (&gt; 0.51%) but with low availability.  The research objective is to determine the dose and timing of N, P and K application in accordance with the needs of soybean plants to have optimally growth and production in mineral and peaty mineral soil in tidal land. The research was conducted in mineral and peaty mineral soil of tidal land type C and B, District of Tanjung Lago, Banyuasin Regency, Province of South Sumatra from April to August 2014. The model is linear using split plots in a randomized block design. Varieties of Willis and Tanggamus were used for nitrogen application experiment.  The time of fertilizer application is at 2, 3 and 4 weeks after planting (WAP), 2, 3, 4 and 5 WAP, and 2, 3, 4, 5 and 6 WAP. The concentration of nitrogen is 7,5; 10; 12,5 and 15 g/l water with spraying volume of 400 l/ha.  In the mineral soil, dry weight of nodules and Willis biomass increased with increasing frequency time of fertilization, otherwise Tanggamus more fluctuating and declined at higher frequency of fertilization. Wilis variety generating the highest production of 3,5 ton/ha.  In the peaty mineral soil, dry weight of nodules and biomass were not significant.  Willis productivity tends to decrease with increasing nitrogen concentrations.  Tanggamus productivity tends to increase with increasing nitrogen concentration at all level of time fertilization.  Tanggamus tend to generate higher productivity of 3,2 ton/ha.


Author(s):  
Kurniawan M.R.D ◽  
P. S. Ajiningrum

This study aims to determine the growth of 10 superior soybean varieties planted in 3 different types of soil (alluvial, regosol and latosol) and to find out whether the 3 types of soil give an effect to the growth of 10 superior soybean varieties viewed from 4 parameters (hypocotyl length, length epicotiles, stem length and stem dry weight).This study used a Randomized Block Design (RBD) consisting of 10 varieties of soybean plants (anjasmoro, argomulyo, detam 1, detam 3 prida, detam 4 prida, detap 1, devon 1, devon 2, yellow gepak and deja 1) and 3 types of soil (alluvial, regosol, and latosol) was repeated 2 times. Data were analyzed using the two-way ANAVA 5% test and the 5% DMRT test. The results showed a significant difference in soybean growth. The best soybean varieties in hypocotyl length are Devon 2, in epicotile length are Anjasmoro, Devon 1 and Devon 2, the stem length and dry weight of the stem are Detap 1. The DMRT test results state that all three soil types (alluvial, regosol and latosol) have influence on the parameters of hypocotyl length and epicotyl length, whereas the parameters of stem length and plant dry weight have no effect.   Keywords: Soybean, Variety, Growing test  


2016 ◽  
Vol 10 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Eka Febriana Sari ◽  
Palupi Puspitorini ◽  
Tri Kurniastuti

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.


Nativa ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 09
Author(s):  
Luis Augusto Di Loreto Di Raimo ◽  
Alexandra De Paiva Soares ◽  
Ricardo Santos Silva Amorim ◽  
Diana Medina Espinoza ◽  
Wellington De Azambuja Magalhães ◽  
...  

Objetivou-se com o presente estudo avaliar os efeitos da aplicação de manganês misturado ao fungicida, em plantas de soja. O experimento foi realizado na fazenda Beija-flor, município de Jaciara, estado de Mato Grosso. O delineamento utilizado foi o de blocos casualizados em esquema fatorial com parcela adicional (3x2+1) e quatro repetições. Foram aplicadas três doses de manganês (50, 100 e 150 g ha-1), com duas caldas de aplicação (manganês e manganês + fungicida), quando as plantas encontravam-se em estádio vegetativo e apresentavam 9 trifolíos completamente desenvolvidos (v10). Na parcela adicional (controle) foi aplicado apenas fungicida, também no estádio fenológico v10. As características avaliadas foram altura de plantas, massa de mil grãos, produtividade e teor de manganês foliar. Não ocorreram interações significativas entre os fatores avaliados. A produtividade não foi alterada pelas misturas realizadas, porém, apresentou diferenças significativas em função das doses de manganês, sendo a melhor dose equivalente a 100 g ha-1. A parcela adicional diferiu estatisticamente dos tratamentos que receberam as doses de 50 e 150 g ha-1 (sem fungicida) para a variável massa de mil grãos, e do tratamento que recebeu a dose de 100 g ha-1 de manganês misturado ao fungicida, para a produtividade de grãos. Conclui-se que a aplicação de manganês em mistura com fungicida não influenciou nas características agronômicas das plantas de soja avaliadas, apresentando-se como uma alternativa para diminuição de custos operacionais de aplicação em cultivos comerciais.Palavra-chave: Glycine max (L.) Merrill, antagonismo, produtividade, sinergismo. COMBINING MICRONUTRIENT (MN) AND FUNGICIDE APPLICATIONS IN SOY BEAN PRODUCTIVE SYSTEMS ABSTRACT: The objective of this study was to evaluate the effects of the application of manganese together with fungicide in soybean plants. The experiment was carried on Beija-flor farm, in municipality of Jaciara, Mato Grosso state. The experimental design used was randomized block design in a factorial arrangement with an additional plot (3x2+1) and four replications.  Three manganese doses were applied (50, 100 and 150 g ha-1), with two application mixtures (manganese and manganese + fungicide), at vegetative stage, when the plants had 9 leafs (v10). On the aditional plot (control) only fungicide was applied, also phenological stage v10. The plant height, the mass of a thousand grains, the manganese content in the leaf and the yield, were the variables used to evaluate the effect of the applications. There were no significant interactions between the evaluated factors. Productivity was not altered by different mixtures, but there were found significant differences due to manganese doses. The best dose observed was the equivalent to 100 g ha-1 of manganese. The additional plot differed statistically from the treatments that received doses of 50 and 150 g ha-1 (without manganese) for the mass of thousand grains, and the treatment that received the dose of 100 g ha-1 manganese mixed with fungicide for grain yield. According to these results, the application of manganese and fungicides combined, do not influence the agronomic characteristics of soybean plants evaluated, that way is a valid alternative to reduce operating costs in soy bean production systems.Keywords: Glycine max (L.) Merrill, antagonism, productivity, synergism. DOI:


2019 ◽  
Vol 7 (2) ◽  
pp. 54
Author(s):  
Mahdalena Mahdalena ◽  
Abdul Rofik ◽  
Tiara Sartika Sari

Soybean is an important food crop after rice and corn. Soybean production in East Kalimantan based on the 2014 forecast rate is estimated at 1,263 tons of dry seeds. Compared to 2013 production (ATAP 2013) there was a decrease of 139 tons (9.91%) (BPS, 2014). The low productivity is because the technique of managing soybean plants is still not optimal. Efforts to increase soybean productivity can be done by conducting intensive cultivation techniques. One of the cultivation techniques that can be done is by technical methods, namely crop trimming and intensive agricultural cultivation can be done in various ways including fertilization. The study was carried out for 5 months, namely from January to May 2018. The research site was on experimental land owned by the Faculty of Agriculture, Widya Gama Mahakam Samarinda. This study used a Randomized Block Design (RBD) with a 2 x 3 factorial experiment consisting of 3 replications. The first factor is Pruning which consists of 2 levels: namely p0 (without pruning), p1 (vegetative phase V4 pruning). The second factor is the dose of Solid fertilizer consists of 3 levels, namely s0 (without fertilization), s1 (5 kg / plot), s2 (10 kg / plot). The results showed that the pruning (P) treatment had a significant effect on the parameters of the number of productive branches and had no significant effect on height, flowering age, number of pods, weight of 100 seeds, weight of crop seeds and weight of mapped seeds. While giving Solid (S) fertilizer does not significantly affect all parameters. But the interaction of the treatment of pruning and giving Solid (PS) significantly affected the parameters of the number of productive branches.


2016 ◽  
Vol 10 (1) ◽  
pp. 20-36
Author(s):  
Eka Febriana Sari ◽  
Palupi Puspitorini ◽  
Tri Kurniastuti

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.


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.


2020 ◽  
Vol 15 (2) ◽  
pp. 92-95
Author(s):  
P.S. Chavan ◽  
H.V. Kalpande ◽  
S.V. Kalyankar ◽  
S.B. Borgaonkar

An investigation entitled as “Correlation for yield and yield contributing traits in soybean [Glycine max (L).Merrill.] was conducted during Kharif 2018 at Instructional Farm, Department of Agriculture Botany, Vasantrao Naik Marathwada Agriculture University, Parbhani. The experiment was laid out in Randomized Block Design with three replications and seven treatments viz., T1-untreated seeds,T2-Polymer coating, T3-T2+Vitavax, T4-T3+GA3 100ppm, T5-T3+CCC 100ppm, T6-T3+, NAA 50ppm, T7- T3+IAA 50ppm. Seed yield is a complex character and is dependent on number of component characters. Therefore, study of relationship of characters with each other and with seed yield become more important in crop improvement programme. Therefore, it is essential to find out relative contribution of each of the component character with yield. In present study yield and yield contributing character of seed yield was positive and significant correlated with field plant height, number of branches per plant, chlorophyll content, leaf area, germination per cent, moisture per cent, total dry weight, 100 seed weight, oil content, protein content, harvest index and no. of seeds per pod. The results also obtained from this study days to 50 per cent flowering and days to harvest are negative significant to other yield and yield parameter.


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