Indonesian Journal of Agricultural Science
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VARIABILITY AND HERITABILITY ESTIMATE OF 30 RICE LANDRACES OF LAMJUNG AND TANAHUN DISTRICTS, NEPAL
Get PDFThe variability in the rice landraces is the source of variation and offers substantial opportunity for the development of new varieties through the selection. Exploring diversity and variability of landraces is utmost for rice improvement. The objective of the study was to assess diversity indices, magnitude of genetic variability, heritability, genetic advance for the yield, and yield contributing traits. An experiment was carried out in alpha-lattice with 30 landraces, two replications in the Agronomy farm of IAAS, Lamjung Campus, during June-November, 2018. Shannon and Simpson's indices were calculated for 18 qualitative traits. The value of the Shannon and Simpson index ranged 0.15-1.41 and 0.07- 0.75, respectively. Landraces showed significant variations (
GENETIC VARIABILITIES OF AGRONOMIC TRAITS AND BACTERIAL LEAF BLIGHT RESISTANCE OF HIGH YIELDING RICE VARIETIES
Get PDFHundred of high yielding and bacterial leaf blight (Xanthomonas oryzae pv. oryzae, Xoo) resistant rice varieties released since the 1960s are important sources of genetic materials for exploring superior genotypes. The study aimed to evaluate the genetic resistance of 177 rice varieties to Xoo and their agronomic traits. The evaluations were conducted at the Indonesian Center for Rice Research Experimental Station during the wet season (December 2015-March 2016). The bacterial leaf blight resistance was evaluated for Xoo pathotypes III, IV, and VIII using the clipping method. The genetic variation among genotypes was categorized as low (0–10%), medium (10–20%), and high (>20%), whereas the heritability was categorized as low (0-30%), medium (30-60%), and high (>60%). The variability of resistance to Xoo pathotypes, grain yield, and spikelet fertility was low, while the variability of plant height, productive tiller number, filled grain, and total spikelet was medium, and the variability of unfilled grain number was high. The 29 varieties were categorized as superior based on their agronomic traits or resistance to Xoo pathotypes. In conclusion, Batutegi and Fatmawati were superior in the total spikelet number, while Rojolele and Inpari 2 were supreme in the thousand-grain weight. Dodokan had a very short maturity, and Inpari 24, Conde, Kalimas, Angke, Inpari 17, and Inpara 8 had the highest resistance to Xoo pathotypes. The study implies that the identified rice superior genotypes could be used as genetic materials to design cross combinations for higher yield potential and BLB resistance varietal improvement
EFFECTS OF CRUDE SUGARCANE FACTORY EFFLUENT ON THE MORPHOLOGICAL AND BIOCHEMICAL PARAMETERS OF CHICKPEAS
Get PDFWaste released from sugar factories has a huge amount of inorganic and organic matter whose effect on plant is different when used in different concentrations. Hence, the effects of sugar factory effluent on the morphological and biochemical parameters of chickpeas (Cicer arietinum Linn.) were studied by using the different concentrations of effluent for irrigation of chickpeas plant. The experiment was conducted at Botanical Garden, Department of Biochemistry, Bhaila (PG) College, Bhaila (Saharanpur), Uttar Pradesh. In the experiment, pots were arranged in a completely randomized design, replicated by six times and were labeled for the various treatments viz. 0%, 10%, 25%, 50%, 75% and 100% v/v. After that, chickpea plants were grown up to 10 days, in the soil irrigated with different concentrations of sugar factory effluent. It was observed that sugar factory effluent promoted the growth of chickpea seeds at 10–25% concentration, but its lethal impacts were noted when concentrations were above 50–100%. Hence, it was found that at lower concentrations (upto 25%), sugar factory effluent behaves as compost for better growth of chickpeas, but at high concentrations, it shows toxicity and behaves as a pollutant. Moreover, it makes the speed of biochemical reactions slow in chickpeas. Therefore, sugar factory effluent can be used for irrigation of chickpeas after proper dilution
DROUGHT TOLERANT INDICES OF LOWLAND TOMATO CULTIVARS
Get PDFThe released lowland tomato cultivars are known for their resistance to plant diseases and high temperatures. The study aimed to identify the drought tolerance of lowland tomato cultivars based on the drought tolerant indices. The study was arranged in a split plot design, using seven lowland tomato cultivars (Zamrud, Permata F1, Ratna, Mirah, Tombatu F1, Tyrana F1, and Tymoti F1) as the main plot and watering (standard conditions and once every eight days as the drought conditions) as the subplot. Parameters observed were morpho physiological characters (plant height, leaf area, biomass, root length, root surface area, shoot root ratio, relative moisture content, membrane stability index, chlorophyll levels, and proline levels). The parameters observed in each character included the sensitivity stress index (SSI), stress tolerance index (STI), and yield stability index (YSI). Results showed that four cultivars (Tyrana F1, Tymoty F1, Mirah, and Tombatu F1) were drought tolerance, and three cultivars (Ratna, Permata F1, and Zamrud F1) were susceptible. The water stress decreased agronomic and physiological traits performance, but the drought-tolerant cultivars were less affected to the stress and produced higher fruit weight. The study implies that the drought-tolerant cultivars could be used as a promising source for drought tolerant genotypes
EFFECT OF LERAK (SAPINDUS RARAK) EXTRACT IN HIGH ROUGHAGE DIET ON RUMEN MICROBIAL PROTEIN SYNTHESIS AND PERFORMANCE OF SHEEP
Get PDFSecondary compounds containing plant extract as feed additive may improve the performance of livestock consuming high roughage diet. An in vivo trial was conducted to investigate the effect of Sapindus rarak extract (SRE) on ruminal fermentation products, microbial protein synthesis, and growth performance of sheep. Sheep (male, 28 heads) fed high roughage diet were arranged in a completely randomized design with four treatments: addition of SRE to the diet at 0, 4, 8 and 12 g head-1 day-1. The experiment was conducted for 105 days with 2 weeks adaptation period. At the end of the experiment, total faeces was collected for 1 week and rumen liquor was taken. Variables measured were ruminal fermentation products, microbial protein synthesis, daily intake, digestibility, N retention, body weight, and average daily gain. Protozoal numbers were significantly decreased with increasing SRE dose. The ruminal NH3 concentration tended to reduce by SRE addition (P = 0.06). SRE significantly increased propionate and efficiency of microbial protein synthesis from 6.4 to 10.5 g N kg-1 DOMR. SRE significantly improved average daily gain of sheep during the first 70 days of experiment without affecting intake and digestibility. SRE did not alter carcass percentage but tended to lower pancreas and liver weights (P<0.1). In conclusion, SRE has a significant role in partially defaunated rumen microflora, hence, increased microbial protein synthesis and propionate production in the rumen. Addition of SRE is useful to increase daily gain of sheep fed high roughage diet in 70 days of feeding
INFLUENCE OF PLANT DENSITY, COMPOST AND BIOFERTILIZER ON TRUE SHALLOT SEED GROWTH IN ALLUVIAL SOIL
Get PDFTrue shallot seed (Allium cepa var Aggregatum group) is an alternative way of growing shallot. Different environments and cultivars need a specific study. The aim of this research was to find out the best technology to grow Trisula true shallot seed by managing plant densities and applying compost and biofertilizer in alluvial soils. The study was performed from May to October 2015, using a split-plot design with four replications. The main plot was plant density: 100 plants m-2 and 70 plants m-2. Subplots were five fertilizer application combinations, they were 100% recommended dose of NPK (R-NPK), 100% R-NPK + compost, 100% R-NPK + compost + biofertilizer, 50% R-NPK + compost and 50% R-NPK + compost + biofertilizer. Results showed that biomass and bulb yield were significantly affected by plant density and fertilizer application. The reduced 50% R-NPK by substituting with compost and biofertilizer was unable to maintain shallot bulb yield equal to 100% R-NPK, suggesting insufficient nutrients derived from compost to satisfy the shallot requirement. The best technology to grow true shallot seed of Trisula variety was 100 plants m-2 plant density and 100% NPK (consisting of 180 kg N ha-1, 52 kg P ha-1 and 50 kg K ha-1) with 2.5 t ha-1 compost that achieved the highest bulb yield of 9.83 t ha-1 and increased the revenue
NUTRIENT CONTENT OF SOYBEAN MEAL FROM DIFFERENT ORIGINS BASED ON NEAR INFRARED REFLECTANCE SPECTROSCOPY
Get PDFNear infrared reflectance spectroscopy (NIRS) has become common techniques to estimate chemical composition of feed ingredient for poultry. Two experiments were performed: first was to compare the capability of NIRS system from three laboratories (E, A and T) to measure nutrient composition of soybean meal (SBM); and the second was to evaluate nutrient composition and quality of 59 samples of SBM from Argentine, Brazil and US using NIRS from T-laboratory. Thirty samples of SBM was used in the first study and the result showed that all NIRS systems were able to estimate proximate, amino acids, metabolizable energy (ME) and carbohydrate components. The second experiment indicated that there were some differences in proximate composition (especially protein), total amino acids and digestible amino acids among SBM from different origins. Brazilian SBM had 2% higher protein and amino acid compared to US or Argentine SBM (P<0.05). However, US SBM had slightly higher ME (20 and 40 kcal kg-1) compared to Brazilian and Argentine SBM, respectively. ME is positively correlated with protein (0.50) and fat content (0.58) but negatively correlated with fiber (-0.74) and NSP (-0.61). Stepwise regression analysis demonstrated that ME can be estimated using equation ME (kcal kg-1) = 75.7 – 21.0 x Fiber + 87.4 x Fat + 32.9 x Protein + 17.6 x NFE with reasonable accuracy (R2 = 0.995). In conclusion NIRS can be used to estimate nutrient content of SBM. Brazilian SBM has higher protein and amino acids, but US SBM has slightly higher ME content
IDENTIFICATION OF IRON TOLERANT CANDIDATE LOCI IN RICE DETERMINED THROUGH GENOME-WIDE ASSOCIATION STUDY
Get PDFIron (Fe) toxicity is a significant abiotic stress in swamp land. The study aimed to identify the candidate loci related to Fe toxicity tolerance through Genome-Wide Association Study (GWAS) approach. The study used 288 rice accessions consisting of 192 breeding lines and 50 local landraces, and custom-designed 384 rice SNPs-chips. A field evaluation was conducted in inland swamp for two season periods (2014 and 2015). Phenotypic data and association mapping were analyzed using XLSTAT and TASSEL 3.0. The candidate loci were analyzed by functional gene detection of the significant SNPs aligned to the Rice Annotation Project and the Institute for Genomic Research databases. Three linkage disequilibrium (LD) blocks were detected in the Fe tolerant population around the significant SNPs. The first LD block was mapped in chromosome 1 (the AtIRT gene and qFETOX1; qFETOX1-3 QTLs loci) resembled partitioning of Fe-toxicity tolerant mechanism. The second LD blocks located in chromosome 2 (qFE-TOX-2-1 and qFETOX-2 QTLs loci) and chromosome 3 (qFETOX-3 QTL, OsNAS1 and OsNAS2 loci), probably contributed to Fe exclusion mechanism. The third LD blocks located in chromosome 4 (OsFRO2 and qFETOX-4 QTL loci) and chromosome 7 (OsIRT2 and NAS3 loci). The third LD block found on tolerant genotypes both on vegetative and generative stages. This condition indicated that these loci were presumed playing a role for Fe toxicity tolerance in rice. Result of the study are beneficial for determining the strategy on developing Fe-toxicity tolerant rice for specific swamp land type through breeding programs
Bacillus atrophaeus MFDV2 RHIZOBACTERIA ISOLATE INCREASES VEGETATIVE GROWTH, YIELD, AND FRUIT SIZE OF BANANA PLANT
Get PDFPlant growth-promoting rhizobacteria have important roles in soil fertility and have been manipulated for ecologically friendly crop production. The study aimed to determine the effects of a biological agent (Bacillus atrophaeus MFDV2) on the growth, yield, and quality of the banana plant. The study was conducted in 2017–2018 using the banana Dwarf Cavendish clone. Bacterial isolate was cultured on nutrient agar and stored at 30 °C for 24 hours. The culture was then suspended in 0.1 M phosphate buffer to 109 CFU ml-1. The bacterial suspension was applied as foliar, soil and foliar + soil once every two months starting from February. One liter of suspension was applied on the soil and over the leaves per plant. The results showed that the effect of bacterial treatment did not increase stem circumference and leaf length, but it was a significant increase in plant height, leaf number, and leaf width. The effects of bacterial application on banana bunch weight and fruit growth were statistically significant. All applications significantly increased the weight, with the highest increase occurring in foliar finger + soil application. While the effects on the finger diameter were statistically similar. Application on leaf + root has been the biggest increase in finger length. The effects of bacterial applications increased N, P, and K contents in the leaves. The study concluded that the application of Bacillus atrophaeus MFDV2 increased the vegetative growth and fruit quality of the banana plant, so it is advisable to be used in organic banana farming
USING GLOBAL CLIMATE INDICES TO PREDICT RAINFALL AND SUGARCANE PRODUCTIVITY IN DRYLANDS OF BANYUWANGI, EAST JAVA, INDONESIA
Get PDFIn Indonesia, sugarcane (Saccharum officinarum L.) is mostly cultivated in drylands, thus depending on rainfall for crop growth and development. Rainfall is an essential factor affecting sugarcane productivity. The global climate indices can be used to investigate potential of rainfall within a given area and its relationship with crop productivity. This reserach aimed to analyze the relationship between the global climate index, rainfall, and sugarcane productivity in drylands near Glenmore sugar mill, i.e., Benculuk and Jolondoro, Banyuwangi, East Java, Indonesia. The global climate index data used were the Southern Oscillation Index (SOI) and Sea Surface Temperature (SST) between 1995 and 2014. Results of this research showed that SOI and SST can be used to predict the rainfall in both Benculuk and Jolondoro. Rainfall (y) can be predicted with SST data (x) using the equation of y = -352.49x + 7724.1 in Benculuk and y = -107.32 + 3443.4 in Jolondoro, as well as with SOI data (x) using the equation of y = 38.664x + 1555.1 in Benculuk and y = 10.541x + 1567.8 in Jolondoro. Sugarcane productivity (y) in Jolondoro can be predicted using data of total rainfall (x) between October and March with the following equation: y = -0.1672x + 1157.3. This equation can be used by sugar mills, sugarcane growers, and other sugarcane-relevant stakeholders for determining the appropriate growing season