Browsing by Author "BAGUM, SHAMIM ARA"

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ASSESSMENT OF STATUS AND REQUIREMENTS OF NITROGEN AT DIFFERENT GROWTH PHASES OF WHEAT AND MAIZE THROUGH DIGITAL IMAGE ANALYSI
(Hajee Mohammad Danesh Science & Technology University, Dinajpur-5200, Bangladesh, 2020-03) BAGUM, SHAMIM ARA
The study was conducted to assess the status and requirements of nitrogen at different growth phases of wheat and maize through digital image analysis. The major objectives were to study the effect of nitrogen on morpho-physiological traits; use digital image and software for assessment morpho-physiological traits at different growth stages and establish a relationship between morpho-physiological traits with image parameters. To fulfill the objectives four experiments were conducted in two successive years (2016-17 and 2017-18) at BARI, Gazipur, Bangladesh with wheat and maize crops. Wheat experiment comprised of four wheat varieties (BARI Gom 26, BARI Gom 28, BARI Gom 29 and BARI Gom 30) and four nitrogen levels (0.0 kg N ha-1, 50 kg N ha-1, 100 kg N ha-1, and 150 kg N ha-1) during 2016 17 and three wheat varieties (BARI Gom 26, BARI Gom 28 and BARI Gom 30) and five nitrogen levels (0.0 kg N ha-1, 60 kg N ha-1, 100 kg N ha-1, 120 kg N ha-1 and 140 kg N ha-1) during 2017-18. While, the maize experiment comprised of three maize varieties (hybrid 981, BARI Hybrid Maize 9 and hybrid P3396) and three nitrogen levels (100 kg N ha-1, 200 kg N ha 1and 300 kg N ha-1) in both the years. All the experiments were laid out in split plot design with three replications. Data on plant height (cm), Leaf Area Index (LAI), Canopy cover (CC), Soil-Plant Analyses Development (SPAD) reading of leaf, Leaf nitrate content (LNC), Leaf chlorophyll content (LCC), Normalized Difference Vegetation Index (NDVI), Total dry matter (TDM), different yield contributing and yield traits of wheat and maize. CC is an important phenotypic trait which indicates overall plant growth and helpful to predict advanced traits like biomass and yield. Digital image analysis was used as an alternative method to quantify the greenness of foliage as indirect measurements of crop N status and phenotyping. The image was taken from 50 cm above the plant canopy by using modified selfie stick. Two software’s (WCC for wheat and MCC for maize) were developed for digital phenotyping in JAVA and Interface design in JFrame. A five-step algorithm was developed to measure the CC of individual plots by RGB (red, green and blue). The output gave 27 digital traits value after analyzing an image including CC and NDVI. The values of canopy cover were closely correlated with the NDVI and the ratio vegetation index. Among the interaction treatments of wheat, maximum grain yield (3.97 t ha-1) was recorded by the interaction of 150 kg N ha-1 and BARI Gom 30 which was statistically similar to 100 kg N ha-1 and BARI Gom 29, 100 kg N ha-1 and BARI Gom 28 during 2016-17 where the maximum grain yield (3.94 t ha-1) was found with treatment combination 120 kg N ha-1and BARI Gom 26 which was statistically similar to 120 kg N ha-1 and BARI Gom 30, 120 kg N ha-1 and BARI Gom 28 during 2017-18. Among the interaction effect of maize variety and nitrogen level, highest grain yield (14.45 t ha-1) was recorded by the interaction of hybrid P3396 and 300 kg N ha-1 which was statistically identical with BHM 9 and 300 kg N ha-1). The results also indicated that, application of nitrogen fertilizer has positive effects on physiological parameters of wheat and hybrid maize. A strong relationship among the traits NDVI, SPAD, CC and LNC was observed across the wheat and maize varieties. The results also suggest that in case of NDVI, SPAD and CC saturation, NDVI and CC could accurately predict nitrogen requirements for wheat and maize. The results of this study partially supported the hypothesis that digital image traits measured by image processing software’s (WCC and MCC) can identify and differentiate variations in nitrogen use in wheat and maize crops. The outcomes of study have created a new era of using digital image analysis in the determination of N-requirement in wheat and maize in near future.
HYBRID MAIZE SEED PRODUCTION UNDER DIFFERENT LEVELS OF LIME AND BORON APPLICATION
(DEPARTMENT OF AGRONOMY, 2008) BAGUM, SHAMIM ARA
Field trial (in hybrid maize (cv. BARI Uybrid Maize-5) seed production was conducted in Non-Calcareous Floodplain Soils under lista Meander Floodplain (AEZ 3) of Agricultural Research Suttion. BARI, I3urirhat. Rangpur during rob! season of 2007-2008 to find out the optimum lime and boron doses for quality seed production of hybrid maize. Three levels of lime (0.0. 1.5 and 3.0 t hi') and four levels of boron (0. 1.2 and 3kg ha') were used as treatment variables. A blanket dose of N120P35 K6 S,0Zn5 kg ha1 and cowdung 5.0 t ha' were used in the study. The treatments were arranged in a split plot design with 3 replications. Lime treatments were randomly at-ranged in main plot and boron levels in the sub plot. Different fertilizer treatments have created significant influence on growth, yield, yield contributing characters and quality of hybrid maize seed. Leaf area planf', leaf area index (LAI). crop growth rate (CGR) and net assimilation rate (NAR) of female parent of BAR! hybrid niaize-5 was increased sharply from 60 days after sowing (DAS) and reaching maximum at 120 DAS and then declined sharply irrespective of treatment differences. The combined ellect of boron and lime was found superior to their single application. The interaction effect between boron and lime was signiuicant for hybrid maize seed yield. The highest yield (2809 kg) was YHI recorded from boron @2.12 kg ha" and limc ® 1.5 i ha" application. From regression equation, optimum and economic dose for B in respect of without liming was calculated to be 2.40 and 2.39 kg B ha"; with 1.5 I ha"liming, it was 2.13 and 2.12 kg B ha" and with 3 t hi' liming it was 2.0 and 1.99 kg B ha"along with blanket dose of N 120P35 K65S207-n5kg ha" plus 5.0 t cowdung The results revealed that boron @ 2.12-2.13 kg ha" and lime @ 1.5 t hi' along with a blanket dose of N, 20P35K65S20Zn5 kg ha" plus 5.0 t cowdung ha" could be optimum for maximizing the quality seed yield oI'hybrid maize in Rangpur region (AEZ 3).