Browsing by Author "Verma, Kamlesh"

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    ASSESSMENT OF AGRONOMIC ZINC BIOFORTIFICATION OF ALLEY CROPPED PEARL MILLET
    (Bangladesh Botanical Society, 2023) Verma, Kamlesh; Prasad, Saroj Kumar; Singh, Manoj Kumar; Sharma, Prashant
    The availability of nitrogen (N) and zinc (Zn) at the specific plant growth stage is crucial for attaining the higher nutrient use efficiency (NUE) and uptake. An experiment was conducted, having 4-N scheduling [No N; �[basal]+ �[3rd visible leaf (VL)]; �[basal]+ �[3rdVL]+ �[panicle extended in flag leaf sheath (PEFLS)]; �[basal] + �[3rdVL]+ �[panicle visible (PV)], and 4-Zn scheduling [No Zn; 2.5 kg/ha [basal]+ 0.25% spray(*) [panicle initiation (PI)]; 2.5 kg/ha [basal]+0.25% [PI]*+ 0.25% [PEFLS]*; 2.5 kg/ha [basal]+ 0.25% [50% panicle emergence (PE)]*+ 0.25% [milk stage (MS)]*. Nitrogen schedule at �[basal]+ �[3rdVL]+ �[PEFLS] recorded the maximum nutrient content, uptake, and NUE. Similarly, the maximum nutrient content, uptake, and nutrient use efficiency observed in the Zn at 2.5 kg/ha [basal]+0.25% [PI]*+ 0.25% [PEFLS]*. Moreover, N and Zn interacted significantly to increase the grain N and Zn content and uptake by grain. � 2023 Bangladesh Botanical Society. All rights reserved.
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    Geospatial technology in agroforestry: status, prospects, and constraints
    (Springer, 2023) Sharma, Prashant; Bhardwaj, Daulat Ram; Singh, Manoj Kumar; Nigam, Rahul; Pala, Nazir A.; Kumar, Amit; Verma, Kamlesh; Kumar, Dhirender; Thakur, Pankaj
    Agroforestry has an indispensable role in food and livelihood security in addition to its capacity to combat the detrimental effects of climate change. However, agroforestry has not been properly promoted and exploited due to lack of precise extent, geographical distribution, and carbon sequestration (CS) assessment. The recent advent of geospatial technologies, as well as free availability of spatial data and software, can provide new insights into agroforestry resources assessment, decision-making, and policy development despite agroforestry�s small spatial extent, isolated nature, and higher structural and functional complexity of agroforestry. In this review, the existing application of geospatial technologies together with its constraints and limitations as well as the potential future application for agroforestry has been discussed. The review reveals that the application of optical remote sensing in agroforestry includes spatial extent mapping, production of tree species spectral signature, CS assessment, and suitability mapping. Simultaneously, the recent surge in the use of synthetic aperture radar in conjunction with algorithms based on vegetation photosynthesis and optical data enables a more accurate estimation of gross primary productivity at different scales. However, unmanned aerial vehicles equipped with sensors, such as multispectral, LiDAR, hyperspectral, and thermal, offer a considerably higher potential and accuracy than satellite-based datasets. In the future, the health monitoring of agroforestry systems can be a key concern that may be addressed by utilizing hyperspectral and thermal datasets to analyze plant biochemistry, chlorophyll fluorescence, and water stress. Additionally, current (GEDI, ECOSTRESS) and future space agency missions (BIOMASS, FLEX, NISAR, TRISHNA) have enormous potential to shed fresh light on agroforestry systems. � 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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    Response of alley-cropped pearl millet (Pennisetum glaucum) to nitrogen and zinc schedules under semi-arid regions
    (Indian Society of Agronomy, 2023) Verma, Kamlesh; Prasad, S.K.; Singh, M.K.; Sharma, Prashant
    Realizing the importance of tree-based cropping system and scheduling of nitrogen (N) and zinc (Zn) in the semi-arid region, an on-field trial was conducted with pearl millet [Pennisetum glaucum (L.) R. Br.] during the rainy season of 2017 at RGS Campus of Banaras Hindu University, Mirzapur, Uttar Pradesh. The trial was laid out in factorial randomized block design with 4 N and 4 Zn treatment applications in different schedules. The results revealed that, N scheduled at � [basal] + � (3rd visible leaf (VL) + � panicle extended in flag-leaf sheath (PEFLS) produced the most synergetic effect on growth and yield of pearl millet. The grain yield increased up to 65% compared to no N application. Conversely, Zn schedules did not significantly influence the growth parameters (except dry-matter), while Zn application at 2.5 kg/ha (basal) + 0.25% panicle initiation (PI) + 0.25% PEFLS recorded about 37% more grain yield, than no Zn application. Additionally, the maximum biological and straw yields recorded with 2.5 kg/ha (basal) + 0.25% panicle emergence (PE) + 0.25% milk stage (MS) Zn application compared to the other treatments. Moreover, N and Zn interacted significantly to produce synergetic effect on the dry-matter, test weight, grain, straw, and biological yields. The maximum grain yield was observed with conjunctive application of N at � [basal] + � [3rd VL] + � [PEFLS] and Zn at 2.5 kg/ha [basal] + 0.25% [PI] + 0.25% [PEFLS], whereas the maximum biological and straw yields were recorded with application of the N at � [basal] + � [3rd VL] + � [PEFLS] and Zn at 2.5 kg/ha [basal] + 0.25% [PE] + 0.25% [MS]. � 2023, Indian Society of Agronomy. All rights reserved.
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    Soil weed seedbank under different cropping systems of middle Indo-Gangetic Plains
    (Czech Academy of Agricultural Sciences, 2022) Sharma, Prashant; Singh, Manoj K.; Verma, Kamlesh; Prasad, Saroj K.
    Trees on agricultural fields can have a positive or negative impact on weed seedbank (WSB) due to diverse environmental and soil characteristics. Therefore, soil samples were drawn in six cropping systems [two agroforest systems (AFS): guava, mango; three horticulture systems (HCS): guava, mango, Indian gooseberry; and annual crop system (ACS)] at two landscape positions (lowland and upland) and two soil depths (0�15 cm and 15�30 cm) using factorial randomised block design each replicated three times. Results showed that guava-AFS had the highest WSB of different categories in general and individual weed species in particular, except for Eragrostis pilosa and Dacty-loctenium aegyptium. Simultaneously, guava-AFS also showed the maximum Shannon-Weaver, species richness and Simpson index and was low in Whittaker statistics (?W ). The species evenness varied non-significantly with the cropping systems. Similarly, the landscape position had no discernible effect on any weed diversity indices; however lowland landscape position was dominated by Cyperus spp. and E. pilosa, while the upland by Phyllanthus niruri. Fur-thermore, with the exception of ?W, the WSB and diversity indices were found to be higher on the topsoil (0�15 cm). Our study establishes that the AFS system in the semi-arid sub-tropics has a more diverse WSB indicating a heal-thy system, as opposed to HCS, which has a dominance of certain weed species, opening the door for more severe infestation of invasive weed species. � 2022, Czech Academy of Agricultural Sciences. All rights reserved.