During the 2013 and 2014 cropping season, field experiments were conducted to evaluate the effect of combined application of NPK fertilizer and FoliarBlend micronutrient application on yield and growth of Cotton at Funtua (longitude 07° 19’E, latitude 11° 32’N), in Katsina State, Nigeria. This study was done as a randomized complete block design with three replications. The treatments were T1 (500 mls of FoliarBlend in 20 litres of water); T2 (20 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water); T3 (40 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water); T4 (60 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water) and control. Soil samples were collected for the determination of chemical and physical properties before planting. Data on growth parameters (plant height, number of leaves, number of nodes, & number of branches) and yield parameters (number of bolls & yield) were also collected and subjected to 2 ways Analyses of Variance (ANOVA) and means separated with Least Significant Difference(LSD) at P=0.05.
The study revealed that during wet season of 2013 cropping system, the results from the field evaluations showed that combined application rate of 40 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water produced the highest number of leaves (36), plant height (76 cm), number of branches (21), and number of nodes (30), compared to the least value of 30, 59.6 cm, 18, and 21 respectively obtained in the control at funtua location. The study also revealed that application rate of 60 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water had the highest number of bolls (19) and yield (5.2 t/ha) compared to the least values of 13, and 2.13 t/ha obtained respectively in the control at funtua site. Similarly in the 2014 dry season, the same trend as in the 2013 was obtained with the application rate of 60 kg NPK/ha + 500 mls of FoliarBlend in 20 litres of water, given the highest number of bolls (24) and yield (6.1 t/ha) compared to the least values of 15 and 2.75 t/ha obtained respectively in the control at funtua site.
Considering the overall result, it can be concluded that combined application rate of 40 kg NPK/ha + 500 mls of FoliarBlend in 20 litres performed best with the highest values on the growth parameters, and while 60 kg NPK/ha + 500 mls of FoliarBlend in 20 litres gave the highest yield and yield parameters than the sole application of either NPK or FoliarBlend.
Yield-enhancing QTLs are becoming major tools in plant breeding, their identification and characterization leads to understanding genes and physiological pathways involved in the complex trait, yield. In previous study ,one major effect QTL (yld2.1) for yield and related traits was identified on chromosome 2 and was mapped to the interval between RM262 and RM263 (21 cM, ~5MB) using an advanced backcross test cross family derived from the cross between IR 58025A and O.rufipogon (IC 22015) accession. We aimed at fine mapping the yld 2.1 for identifying the gene/s responsible for increased yield in restorer line KMR3 background. 55 BC3F3 near-isogenic lines (NILs) representing 960 plants were used in fine mapping of yld2.1 with 8 polymorphic SSR markers. QTL analysis in BC3F3 population using single marker analysis, interval mapping and composite interval mapping for 9 yield and related traits narrowed the yld 2.1 to a region of 62 kb between RM3688 and RM3762 markers. Introgression lines with RM3688 and RM3762 have shown significant increase in yield per plant, grain weight per panicle, number of tillers per plant, panicle length and number of panicles, their grain yield per plant was 17.6 – 20.72% higher than that of ILs with rest of the regions and KMR3, 62 kb region has 10 predicted genes consisting of 4 putative expressed genes including a fertility restorer A homologue like gene, 1 gene encoding 18S pre-ribosomal assembly protein and 5 genes encoding unknown expressed proteins. Significant increase in five important yield and related traits suggests that gene/s underlying this QTL should involve in multiple physiological pathways directly or through epigenetic interactions.
Aim: To determine macro chemical composition of mango (Mangifera indica) fruit reject meal (MFRM) and its effects on the performance of starter broiler chicks.
Methodology: The research was carried out at the Poultry house of the Livestock Unit, Teaching and Research Farm, University of Agriculture Makurdi, within (28 days) September, 2013. Day-old broiler chicks numbering 200, were grouped into five (5) with each group replicated four times and assigned to diets containing 0, 5, 10, 15 and 20% mango fruit reject meal (MFRM) in completely randomized design, and fed for 28 days.
Results: MFRM contained low CP (3.24%). Performance parameters such as daily feed intake and weight gain were significantly reduced (P < .05) from 15% MFRM (35.40 g/day and 15.82 g/day) upward but comparable with control (36.94 g/day and 18.46 g/day) up to 10% MFRM (36.31 g/day and 17.81 g/day) in diets. Cost per kg weight gain ($1.05 – $1.13) was not significantly affected (P > .05) among treatment groups.
Conclusion: It was concluded that MFRM has low protein; therefore it is an energy feedstuff and 10% MFRM in broiler chicks’ diet was safe and supported growth performance.
Nigeria is a heavy importer of rice and the rate of importation is increasing year by year at an alarming rate. This necessitates the need to ascertain activities of farmers in rice production and specifically in Akwa North Local Government Area, Anambra State, Nigeria. A multi-sage sampling technique was employed in selecting 90 rice farmers for the study. Interview schedule was used to collect data. Data collected were analyzed using percentage, mean score and factor analysis. The findings show that rice farmers used personal savings (75.6%) as capital for engagement in rice production while about 67% had no access to tractor hence 73.3% used hired labour in rice production. On average, the respondents owned 2.7 hectares of land but cultivated 1.7 hectares of this land with rice. They planted different varieties of rice seeds obtained from personal reserve (66.7%) and had no alternative water supply (83.3%). They practiced sole cropping (90%) and planted their seeds by broadcasting method (53.3%). NPK 20:10:10 was fertilizer that 60% of the farmers used in their rice farms and 61.1% processed rice immediately after harvest. Average output and yield from rice were 3.2 tonnes and 1.4 tonnes/hectare per year respectively. Soil fertility and biotic stress, farm-farmers related problems and economic related problems were extracted as constraints to rice production in the area. The study recommends that researchers that are involved in rice breeding should develop high yielding rice varieties while agricultural extension agents should transfer the innovations to farmers and ensure that farmers adopt them through follow up and feed-back exercises/visits to these farmers targeted at boosting output, yield and income from rice production.
The investigations were conducted in the Horticulture Farm, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh during November 2013 to March 2014. The studies were conducted on two factors Phosphorus and Zinc, where Phosphorus doses were adjusted at Four Doses i.e. P0: 0, P1: 120, P2: 140 and P3: 160, P2O5kg ha-1 respectively. Similarly Zinc was also adjusted at Four Doses as Zn0: 0, Zn1: 1, Zn2: 2 and Zn3: 3 Zn kg ha-1 respectively. The experiment was laid out in a randomized complete block design (RCBD) with three replications. In case of phosphorus, highest corm yield (18.92 t ha-1) and no. of spike (249300 ha–1) was achieved from P2 and lowest corm yield (16.57 t ha–1) and no. of spike (208900 ha–1) was from P0. In case of zinc, highest corm yield (19.64 t ha–1) and no. of spike (251500’ ha–1) was from Zn2 while lowest corm yield (15.79 t ha–1) and no. of spike (201200 ha–1) was from Zn0. For interaction effect, highest corm yield (20.64 t ha–1) and no. of spike (268300 ha–1) was from P2Zn2 while lowest corm yield (14.801 t ha–1) and no. of spike (195000 ha–1) was from P0Zn0. So, 140 kg P2O5 and 2.0 kg Zn ha–1 was found best for growth, flowering and yield of gladiolus.