Abstract. Kuntyastuti H, Sutrisno. 2017. Effect of manure, Phosphate Solubilizing Bacteria, and chemical fertilizer application on the growth and yield of soybean. Nusantara . This study aimed to determine the dosages of organic, chemical and biological fertilizers for optimum growth and yield of soybean grown in acidic dryland. Treatments applied were twelve combinations of inorganic fertilizer, phosphate solubilizing bacteria (PSB), and manure. These treatments were arranged in a randomized block design, each was three replicates. The growth variables of plant height and chlorophyll index were observed in every two weeks interval, started at two weeks after planting. Root length and number of nodules were observed at 45 days after planting when the maximum vegetative growth occurred. Stem and root dry weight, number of filled and empty pods, pod dry weight, grain weight, and number of seeds per plant were observed at harvest. Optimum soybean growth and yield were achieved when soybean plants were treated with a combination of 1500 kg ha -1 of manure + PSB +150 kg ha -1 of NPK chemical fertilizer.Keywords: Chemical fertilizer, dry acid soil, manure, phosphate solubilizing bacteria, soybeanAbbreviations: NPK = nitrogen, phosphate, potassium, PSB = Phosphate solubilizing bacteria, DAP = day after planting, WAP = week after planting, LCI = leaf chlorophyll index, CEC = cation exchange capacity
Soybean (Glycine max (L.) Merr.) is sensitive to salinity stress. The availability of soybean cultivar tolerant to salinity stress is the main key of succeeding of soybean cultural practice on saline affected land. Objective of the research was to evaluate the resistance of soybean germplasms to salinity stress. The research was conducted on saline affected soil in Lamongan District during the dry season (May-August) 2016. Nineteen soybean genotypes that were selected from previous salinity test in the green house were reevaluated in the field using a randomized block design with three replications. Wilis cultivar (sensitive to salinity) used as check. Variable observations consisted of soil properties before planting, number of plant grow at 13 and 41 days after sowing (DAS), plant height at 41, 56 and 71 DAS, chlorophyll content index at 27, 41 and 56 DAS, soil EC at 71 DAS, number of harvested plants, yield and yield components. The results showed that among 19 genotypes tested, only five genotypes that survived up to harvest with plant population 30-50% at high salinity level. Salinity reduced plant population more than 50%, and plant height only 50% from its normal height. Based on soil EC, plant population at harvest, and yield, genotype Karat 13, Grayak 3 and Grayak 5 were identified adaptive to high salinity level with soil EC 11,7-14,4 dS/m, while MLGG 0160 were identified adaptive to moderate salinity level with soil EC up to 9,1 dS/m.
Cowpea is an underutilized legume that has been cultivating in Indonesia. But, the availability of cowpea variety is limited. Cowpea breeding program is started with gene source characterization of germplasm. This research aims to study the yield and its supported component variability of cowpea germplasm. One hundred and fifty cowpea accessions were planted using randomized block design with two replications. Observation was done for days of flowering, days of maturity, plant height, number of branches, number of pods per plant, pod length, number of seeds per pod, seed weights per plant, 100 seeds weight, and seed weights per plot. Statistic descriptive, analysis of variance, and was analyzed with MSTAT 1.4 version software, while path analysis was done with SPSS 19 version. Days of flowering was ranged 32-53 das, days of maturity 60-79 das, plant height 16-51.3 cm, number of branches 0-5, number of pods per plant 13-93, pod length 9.1-22.8 cm, number of seeds per pod 12-20, seed weight 7.47-76.17 g per plant, 100 seeds weight 4.19-18.5 g, and seed weight per plot 45.61-346.58 g. There were significant differences between the genotype in leaf length x width, plant height, pod length, number of pods per plant, weight of 100 seeds, and seed weight per plot. All of the observed characters were correlated highly significant to yield, except days of maturity, leaf length x width, and pod length which correlated significantly, also number of branches and number of seeds per pod which not correlated significantly to yield. Selection was held for yield character using 20% selection index and there were 19 accessions selected, with 269.58-326.48 g seed yield per plot.
Selecting high-yielding and stable genotypes is the main goal of black soybean breeding. Testing new lines in multiple environments is one of the development processes in black soybean breeding. The aims of the research were (i) to identify the effects of genotype, environment, and their interactions (GEIs) on the grain yield of soybean lines in Java Island; (ii) to select stable and high-yielding soybean lines; (iii) to determine the discriminative environments; and (iv) to determine the concept of stability measurements on black soybean grain yields. Field trials of 10 new F8 promising lines and three check varieties were conducted under eight different environments during four years (2016–2019). The measurement results showed that the grain yield was influenced by genotype (8.35%), environment (59.49%), and GEIs (32.16%). Grain yield stability measurements showed that the four newly identified lines had high yields and were stable in eight environments; they were A-5A-PSJ (S2), DB-96-CTY (S5), UP 161 (S6), and UP 162 (S7). The Ngawi (2017), followed by Bogor (2019) and Banyuwangi (2016), has the strongest interactive capabilities and is suitable for use as a trial environment. Grain yield (Y) was identified as having a positive and significant correlation ( p < 0.05 ) with S(3), S(6), NP(2), NP(3), NP(4), KR, and YSI stability measurements, which indicated that they were included in the concept of dynamic stability measurement. The selected genotypes can be proposed for the release of new high-yielding black soybean varieties in Indonesia.
<p>Genetic parameters are important in genetic improvement and variety development. This study aimed to determine the effective characters that can be applied as selection criterion in soybean breeding using genetic parameters. About 100 soybean genotypes were grown in the Muneng Agricultural Technology Research and Assessment Installation from April to July 2020. The trial was conducted using a randomized complete block design. The results showed that high genetic variability was found on days to maturity, number of branches per plant, number of productive nodes per plant, 100-seed weight, and seed yield. The high heritability was shown by days to maturity, plant height, number of branches per plant, and 100-seed weight. All phenotypic correlations were significant, except for the correlation between seed yield and days to maturity, plant height, number of branches, and number of productive nodes. The seed yield had no genotypic correlation with all agronomic characters observed. The genotypic correlation was only significant for plant height and number of productive nodes, number of branches and number of filled pods, as well as number of productive nodes and 100-seed weight. Therefore, the improvement of seed yield can be conducted through direct selection using the seed yield parameter or indirectly using the 100-seed weight.<br /><br /></p>
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