Improving Household Agriculture with Roof-Harvested Rainwater: A Case Study in Sydney and Nairobi

The production and distribution of a sufficient quantity of food and water of satisfactory quality is at the heart of sustainable development. At the small domestic scale, roof-harvested rainwater can make a significant contribution to food supply and distribution systems (production, handling, storage, and transportation). In this paper, we compare the potential crop production of a small garden plot using three methods of watering: (1) rainfed only with no irrigation; (2) irrigated with the ideal amount of water; and (3) rainwater tanks of various sizes installed and used to irrigate the plot. Yield was determined on the basis of the yield calculation method presented in FAO 33. It was found that yields can be increased considerably by installing a correctly managed rainwater storage system (RSS). A 3 kL RSS connected to a 120 m2 roof can increase yields in Nairobi from 40 kg to 96 kg. In Sydney, a larger roof of 200 m2 can increase yields from 66 kg to 143 kg. This study makes an important contribution to water and food security-related sustainable development goals.

Evaluation of Yield Loss Assessment Caused due to Curvularia Leaf Spot (Curvularia lunata) in Maize

An experiment was conducted during Kahrif 2017 and Kharif 2018 at department of plant pathology, Rajasthan collage of Agriculture, Udaipur, Raj. to find out the average yield loss assessment caused due to Curvularia leaf spot of maize. During Kharif 2017 estimated average yield loss was 21.69% with 18.56 % PDI and 1032.33 kg/plot yield in protected plot similarly in Kharif 2018 yield loss was 22.49% and 992.73 kg /plot yield with 18.07% PDI. On average yield loss caused due to CLS in maize in both years was estimated 22.06%.

Checking the Significance of Correlation Coefficient from the Regression Analysis using Wheat Yield.

Major objective of the present study is estimate regression model and Correlation coefficient. The data were collected from the wheat section, Agriculture Research Institute (ARI) Tandojam, regarding various factors influencing on the wheat production. The survey result show that yield has significant positive correlation with the parameters such as the number of tillers per plant, number of seed per spike, length of spike in cm, the number of spikes let per, tiller per hectare and plant height cm. The parameter of wheat number of tillers per plant meter square standard error is (0.569), coefficient is (0.816). T-value is (1.43) and with positively significant is (0.018). The parameter of number of seed per spike standard error is (0.107) coefficient is (0.0811) To determine the effect of dependent and independent T-value of (0.75) with significant (0.4724).The parameter of wheat is length of spike in cm is standard error is (1.704), Coefficient is (1.092), T-value is (0.64) with the positively significant is (0.029) T-value is (2.20) and with positively significant is (0.039).The parameter of tiller per hectare is standard error is (0.026), standardized The Number of spike let per spike with standard error of this parameter (0.5172)coefficient is (1.135), the coefficients beta is (0.041), and T-value of this parameter is (1.73) and with the positively significant value is (0.121). The parameter of wheat is day of heading cm with the standard error is (0.650), the standardized coefficient beta is negative (1.426), the T – value of this parameter is (-2.19) with the weak significant of (0.059). The parameter of wheat is plant height cm standard error is (0.203), with standardized coefficient beta is (0.081), T-value of this parameter is (0.40) with the significant value is (0.697). The parameter of lodging score per hector centimeter with standard error is (0.662), the standard coefficient of beta is (-0.504), T-value of this parameter is (-0.76), with the significant of (0.468).The parameter of number of grains weight in grams with standard error is (0.245) standardized coefficient of beta is (0.106), T-value is (0.43) with the significant value is (0.677). The parameter of wheat is seed index 1000 grains weight with standard error is (3.437) , coefficient is (0.384) , T-value is (0.11) With the significant value is (0.913).The parameter of wheat is plot yield gram with standard error is (0.0215), with coefficients is (-0.036), is T-value of this parameter is (-1.72) with the significant value is (0.124). The Parameter of wheat is nitrogen per hector kilogram with standard error is (0.168), coefficient is (0.1688), is T-value is (1.00) with the significant of (0.345).The parameter of Phosphorus per hack Kg with standard error is (0.333), coefficient of is (-0.138), T-value is this parameter is (-0.42) with the significant of (0.688). It is suggested that the more factors can be studied and different statistical techniques, agronomics practices and different doses of fertilizer can be applied for the high production of wheat crop.

Yield prediction of experimental plots based on the harvest of specific fruit clusters for selection of fresh market tomato hybrids

ABSTRACT The objective of this study was to propose models based on the harvest of specific fruit clusters to estimate the plot yield of trials containing fresh market tomato hybrids. Three experiments were conducted at the Experimental Station of Syngenta Crop Protection in the municipality of Holambra, state of São Paulo, Brazil, in 2016 and 2017. The experimental design was randomized complete blocks with 12 genotypes (experiments 1 and 3) and 13 genotypes (experiment 2), with 4 replicates and 10 plants per plot. Multiple linear regression models were fitted (stepwise method) with experiment 1 data (cross-validation), the best models were selected (higher adjusted R²) and then tested with experiments 2 and 3 data by mean of absolute percentage error (MAPE), for the traits mean weight of marketable fruit per plant A (MWA), AA (MWAA), AAA (MWAAA), AA and AAA (MW23A), and the ratio between the market weight and the number of marketable fruits (MFW). The models with four fruit clusters (2, 3, 6 and 9) showed the best balance between prediction capacity and the number of fruit clusters to harvest. The traits MWAA, MW23A and MFW generated reliable predictions, with MAPE approximately 5%. The multiple linear regression can be used to estimate the plot yield what, in the last instance, contributes to the reduction of the costs to conduct fresh market tomato hybrids

Evaluation of Yield and its Components in Bread Wheat (Triticum aestivum L.) Genotypes

Bread wheat is an important food crop of world and Pakistan. An experiment was conducted in winter wheat growing season to assess yield and yield related traits of newly evolved wheat genotypes. The 16 wheat genotypes includes 14 advanced lines viz., CIM-04-5, CIM-04-21, CIM-04-3, C7-98-11, 5-02, V2-10-12, CIM-03-2, C2-98- 6, 6-12, V3-10-9, C6-98-5, V3-10-32, C2-98-8, V2-10-21 and 2 local checks NIA Sunhari and Kiran 95 were tested. Experimental design was laid out in RCBD with 3 replicates. Mean square for genotypes showed high significantly differences for most of agro-morphological characters. Mean and range of all wheat genotypes for all the traits indicated a considerable variability between genotypes. Mean performance for the trait grain yield showed that newly developed genotypes C2-98-8, CIM-04-21, V3-10-32 and CIM-04-3 produced higher grain yield (3 to 3.25 kg plot-1) than both the contesting check varieties. High significantly and positively correlation of the plot yield to thousand grain weight (0.41**), biomass (0.41**) and harvest index (0.86***) with grain yield were found. It indicated that by improving these three traits, we can significantly improve grain yield. Selected genotypes and traits can be used in breeding program for wheat improvement.

Influence of amelioration on the productivity of alfalfa on acid soil types vertisols

Alfalfa is the most important forage legume in our agroecological conditions for feeding cattle. In the area of Jablanica district, alfalfa occupies a considerable place in the total plant production. The restrictive factor in the establishment and short durability of alfalfa stand is the low pH of arable agricultural soil. Within the three-year field trial on Vertisol soil type (pH in KCl 4.9), from 2016 to 2018, alfalfa plot yield has been analyzed with different fertilization variants. The research results indicate that alfalfa provides a significantly higher yield on the plot where amelioration measures were applied, through the application of limestone and manure, with the addition of mineral fertilizer. A barely lower yield was achieved on the calcified and manured plot, while the lowest yield was on the control plot, where a generous amount of mineral fertilizer was added, which is a common practice of agricultural producers in the area of Jablanica district.

Effect of Novel Herbicides and Herbicide Mixtures on Yield and Economics of Transplanted Rice

A field experiment was conducted during kharif, 2019 at Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad. The experiment done with twelve treatments and three replications. The study was taken to find out which herbicide mixture most effective in controlling of weeds leads to maximum yields with higher benefit cost ratio. The results revealed that, application of herbicide mixture florpyrauxifen-benzyl + cyhalofop-butyl 10% EC 150 g/ha PoE fb hand weeding at 40 days after transplanting (DAT) gave higher yields and net returns with high benefit cost ratio (B: C) which was statistically on par with minimum competitive plot. Unweeded plot yield was deviated about 48 % compare to florpyrauxifen-benzyl + cyhalofop-butyl 10% EC 150 g/ha PoE fb hand weeding at 40 days after transplanting.

Genetic Characterization of Leaf Tip Necrosis and its Effect on Quantitative traits in Wheat (Triticum aestivum L.)

The study aimed to estimate the phenotypic variability for LTN as well as yield traits, genotypic variability for Lr34, Lr46 and Lr67 and to investigate the association between genotypic and phenotypic variability for LTN and yield traits. Two hundred fifty wheat genotypes were screened for the presence of Leaf Tip Necrosis (LTN), a phenotypic marker of wheat resistance to leaf rust infection following Randomized Block Design. Of which 77 genotypes showed variable expression of LTN. Twelve yield traits were analyzed that showed highly significant differences. All these 77 genotypes were validated for the presence of three genes using respective markers viz., csLV34 for Lr34; Xwmc44 for Lr46, and Xcfd71 for Lr67. Out of 77 genotypes, 19 genotypes showed the presence of a single gene (7 with Lr34, 5 with Lr46, and 7 with Lr67), 13 genotypes had all the 3 genes, 14 with a combination of 2 genes and 31 had not shown the presence of any gene. Wheat genotypes within the individual presence of three genes increased the LTN area but their combination, reduced the thousand grain weight, LTNA, and the plot yield. All three genes individually or in combination increased the leaf area. Lr67 alone and in combination with Lr46 reduced the plot yield of wheat genotypes. Interestingly, LTNA had no significant correlation with any of the traits analyzed in this study. Leaf area showed a negative correlation with days to heading, glaucousness index, and thousand grain weight (TGW). NDVI-3 (at dough stage) showed a positive correlation with plot yield and TGW but had a negative association with the leaf area. High heritability coupled with high genetic advance was observed for leaf area (99.70%, 29.52%), LTNA (99.35%), 1000- grain weight (95.37%), grains per spike (93.65%, 17%), and days to headings (88.04%).

Evaluation of bread wheat (Triticum aestivum L.) for terminal heat tolerance

Terminal heat tolerance of 34 wheat genotypes were analyzed for two years. Among 14 traits, canopy temperature, plot yield and days to heading were major components in clustering of genotypes. Three genotypes viz., DBW39, DBW16 and DBW14 had lowest HSI (0.34-0.36) for plot yield and were considered as heat tolerant genotypes by, both, HCA (Hierarchical Cluster Analysis) as well as DA (Discriminant Analysis). These genotypes may serve as potential donors in wheat breeding to improve the terminal heat tolerance.

Yield and economics of blackgram crop effected by green manures and phosphorus levels in riceblackgram cropping sequence

A field experiments was conducted during 2015 and 2016 to study the effect of green manures and phosphorus levels in blackgram crop at Agricultural College Farm, Bapatla. The experiment was conducted in split- split plot design on sandy clay loam soil with three main treatments three subtreatments to Kharif rice and three sub-sub treatments to Rabi crop. The treatments consisted of Dhaincha green manure crop, sunnhemp green manure crop and without green manure as main plot treatments and three phosphorus levels to rice crop comprising of 45 kg P2O5 ha-1, 60 kg P2O5 ha-1 and 75 kg P2O5 ha-1 as sub- plot treatments and are replicated thrice. The Rabi experiment was laid out on the same site in a split-split plot design without disturbing the soil for succeeding blackgram crop and each of the Kharif plot was divided into three sub-sub plots to receive three levels of phosphorus (No P, 50% RDP and 100% RDP) to each plot. Yield and economics of blackgram which received Dhaincha green manure incorporation with 75 kg P2O5 ha-1 to Kharif rice crop and 100% RDP to Rabi blackgram was recorded significantly higher and it was on a par with sunnhemp green manure incorporation with 75 kg P2O5 ha-1 to Kharif rice crop and 100% RDP to Rabi blackgram.