jacob richard patty

The determination of the growing season is closely related with the climate change that occurs in a region The study aims to determine the trend of changing the growing season in the Batabual Area, changes in the growing season that occur due to changes in rainfall, and alternative planting patterns in Batabual region based on changes in the growing season that occur. Data analysis consisted of (1) determining the climatic conditions of the region using the Algebraic average method from monthly rainfall data from the Buru meteorological climate station for the last 30 years 1991-2020 and (2) determining the planting season using the FAO method (1978). The results showed that based on average rainfall data, the growing season lasted for 10 months and 19 days (November to September 19 of the following year).  However, if you use rainfall with a 75% chance of being exceeded, the growing season period only lasts for 8 months and 21 days (December – July 21 of the following year).

Climate information/data of a region plays an important role in agricultural development in the region, because by utilizing the knowledge of the relationship between crops and climate, forecasts can be made of planting time, harvest time, drought (water deficit), flood (water surplus), pest attack and disease, determining the appropriate type of crop, and so on. The purpose of this study was to assess the presence of soil water and to determine the growing season in the Saumlaki area based on two rainfall conditions. This study used monthly rainfall data for 30 years (1990-2019) as well as other climatic data, such as air temperature, air humidity, sunshine duration and wind speed for 15 years (2005-2019). Computing of the water balance was carried out using Thornthwaite-Mather Method, and determination of growing season using soil water in optimum condition. Based on the calculation of the land water balance in the rainfall conditions there was a 75% chance of being surpassed by t...

Climate change has an impact that includes extreme climate events such as El Nino. Experience in recent decades has shown that the El Nino climate anomaly has caused prolonged droughts. Peanut are susceptible to drought in part or all of its growth phases due to below-normal rainfall. This study aimed to describe the occurrence of extreme El-Nino rainfall on Kei Kecil Island, Maluku Province, and how much the El-Nino events affected the planting season and peanut production on Kei Kecil Island. This was carried out using the algebraic average technique for calculating the average (normal) rainfall and the FAO (1978) method for determining the growing season. The variables observed were rainfall data and peanut plant productivity data. Data were analyzed using simple regression analysis. The results of the study showed that the El Nino phenomenon generally took place in the period from April to November; mostly starting in April, May, June and September, October and November. Drought...

This study aimed to analyze the benefits of providing liquid and organic fertilizers and to determine the dosage of the liquid organic fertilizer and mixed fertilizers on growth and yield of waxy corn (Zea mays var. ceratina). The study was conducted in August to November 2017 in the Wailete, Wayame Village, Teluk Ambon Subdistrict, with alluvial soil types. The experiment used factorial experiments in a randomized block design with three replications. The first factor was liquid organic fertilizer with four levels, namely: C0 = Control, C1 = 10 mL/L of water, C2 = 20 mL/L of water, C3 = 30 mL/L of water. The second factor is NPK DGW (M) mixed fertilizer with three levels, namely: M0 = Control, M1 = 2.5 g/plant, M2 = 5 g/plant. The parameters observed were plant height, leaf number, ear length, dry ear weight, 100 dry seed weight, dry kernel weight. The data from the study were analyzed using the analysis of variance method and continued with a mean difference test, according to Dun...

This study was aimed to determine the proper dose of ash desiccant on maize seed stored for 30, 60 and 90 days. The design used was a Completely Randomized Factorial Design, with two factors and three replications.  The first factor was desiccant dose (D) : Do = 0 % (control), D1 = 5 % (12.5 g of seed weight), D2 = 10% (25 g of seed weight), D3 = 15 % (37 g of seed weight), D4 = 20 % (50 %g of seed weight), D5 = 25 % (62.5 g of seed weight).  The second factor was length of storage (S) : S1 = 30 day storage, S2 = 60 day storage and S3 = 90 day storage. The result show that use of desiccant only gave effect on the water content of seeds (12.31 %) and speed of seed growth vigor parameters (24.84 %).  Use of desiccant in 90 day storage were able to maintain water content of seeds (12.43 %), seed germination viability parameter (100 %), and vigor of seeds, which consisted of seed growth simultaneity (66.77 %) and seed growth speed (28.71 %).  The interaction between the use off ash desi...

The growth of mustard plants is influenced by the availability of nutrients through the application of fertilizers. Manure and sea mud are one type of biological fertilizer. The study aims to determine the optimal dose of sea mud and manure for the growth and production of mustard plants. The study design was a randomized group design consisting of 2 factors and repeated 3 times. The first of Sea Mud treatment (L) consists of levels, namely: L0 = Control; L1=500 g, L2= 750 g. L3 1000 g. The second factor is that the dose of manure consists of levels, namely: P0=without manure; P1=120 g, P2=160 g: and P3 = 200g. The results showed that L3 treatment was able to increase plant height, while the number of leaves was best in L2 treatment.  This treatment was also able to increase the number of leaves, fresh weight and dry weight but between L2 and L3 treatments did not differ markedly. P3 manure treatment is able to increase the best number of leaves, while fresh weight is best P2 treatm...

Cropping patterning is an farming practice to obtain maximum production taking into account climatic conditions, soil and types of crops cultivated. This research, which was carried out in the Amahai Region, aimed to: (i) describe extreme climate events and (ii) determine the growing season and cropping patterns of food crops based on the length of the growing season available in the region. The analytical methods used consisted of: (i) determining extreme rainfall based on BMKG standards and ENSO History data, (ii) determining the planting season using the FAO method, and determining cropping patterns in conditions of extreme rainfall. The results showed that a very extreme El Nino event caused a decrease in rainfall in the Amahai region by 1,444 mm or 54% of its normal condition, on whereas a very extreme La Nina event caused an increase in rainfall by 1,528 mm or 60% of its normal condition. The growing season in the Amahai region under conditions of average (normal) and La Nina ...

Diallel analysis of multiple traits is a comprehensive approach to evaluate general combining ability (gca), specific combining ability (sca) and reciprocal effects of parents and it crosses by involving many traits simul­taneously. Describing of cross-by-traits biplot (CT Biplot) can be used to describe the multiple traits diallel analysis. In order to improve the yield potential, four parents of the local varieties and two parents of the high yielding varieties of mungbean were evaluated their multiple traits combining ability by using Griffing Methods I. Results of the research show, there are 3 meaning sectors (MS) and 2 non-meaning sectors (NMS) of crosses and multiple traits. The parents Lasafu Lere Butsiw (LLBs) and Gelatik contained high gca in one MS which associated with traits of the grain weight, number of seeds per pod, number of seeds, number of filled seeds, number of pods, and number of filled pods (MS-1). The parents Lasafu Lere Butsiw fer Namamas (LLBfN), Lasafu Le...