Annual Research & Review in Biology
https://www.journalarrb.com/index.php/ARRB
<p>The aim of <strong>Annual Research & Review in Biology (ARRB) (ISSN: 2347-565X) (Previous name: Annual Review & Research in Biology, ISSN: 2231-4776)</strong> is to publish high quality papers (<a href="https://journalarrb.com/index.php/ARRB/general-guideline-for-authors">Click here for Types of paper</a>) with broad areas of Aerobiology, Agriculture, Anatomy, Astrobiology, Biochemistry, Bioengineering, Bioinformatics, Biomathematics or Mathematical Biology, Biomechanics, Biomedical research, Biophysics, Biotechnology, Building biology, Botany, Cell biology, Conservation Biology, Cryobiology, Developmental biology, Food biology, Ecology, Embryology, Entomology, Environmental Biology, Epidemiology, Ethology, Evolutionary Biology, Genetics, Herpetology, Histology, Ichthyology, Integrative biology, Limnology, Mammalogy, Marine Biology, Microbiology, Molecular Biology, Mycology, Neurobiology, Oceanography, Oncology, Ornithology, Population biology, Population ecology, Population genetics, Paleontology, Pathobiology or pathology, Parasitology, Pharmacology, Physiology, Psychobiology, Sociobiology, Structural biology, Virology and Zoology. </p> <p><strong>NAAS Score: 4.90 (2024)</strong></p>SCIENCEDOMAIN internationalen-USAnnual Research & Review in Biology2347-565XSensor Based Irrigation Management in Crop Production: A Review
https://www.journalarrb.com/index.php/ARRB/article/view/2068
<p>Efficient water management in agriculture is crucial for sustainable crop production, especially in regions facing water scarcity. Sensor-based irrigation scheduling offers a promising solution by enabling precise and timely irrigation, optimizing water usage while maintaining or enhancing crop yields. This study was made in order to investigate the efficacy of sensor-based technologies in irrigation scheduling for improving water use efficiency in agricultural settings. Data on utilization of an array of sensors including soil moisture, weather and crop-specific indicators., real-time data was collected and analyzed to determine the optimum irrigation timing and volume. The procedure integrated these sensor-derived insights with irrigation scheduling algorithms to dynamically adjust water delivery, aligning with the crop's actual water needs. This study reviews the importance of soil moisture sensors for irrigation, as well as sensor technology and its uses irrigation management and irrigation scheduling.</p>Vaishali SurveHiteshH. H. PatelPayal
Copyright (c) 2024 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2024-03-122024-03-123941410.9734/arrb/2024/v39i42068Integrated Nutrient Management for Enhancing Cereal Crop Production: A Review
https://www.journalarrb.com/index.php/ARRB/article/view/2069
<p>Integrated Nutrient Management (INM) is a holistic approach that aims to optimize nutrient use efficiency in cereal crop production by combining various sources of nutrients, including organic and inorganic fertilizers. The integration of organic materials, such as crop residues and manures, with chemical fertilizers is emphasized to enhance soil fertility, improve nutrient availability, and promote sustainable agricultural practices. The synergistic effects of combining different nutrient sources contribute to balanced nutrition, reduced environmental impact, and increased resilience to changing climatic conditions. This abstract highlights the significance of integrated nutrient management as a comprehensive strategy for achieving higher cereal crop yields while addressing the challenges of nutrient management and environmental sustainability in modern agriculture. Integrated Nutrient Management not only boosts the growth, yield attributes, overall yield, and quality parameters of cereal crops but also fosters soil health, thereby fostering long-term agricultural sustainability.</p>Vaishali SurvePayal Patel Tushar Patel Hitesh Jinjala
Copyright (c) 2024 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2024-03-132024-03-133945810.9734/arrb/2024/v39i42069Molecular Characterization of Mango (Mangifera indica L.) Cultivars Using SSR Markers
https://www.journalarrb.com/index.php/ARRB/article/view/2070
<p>Nowadays, molecular characterization is essential for studying the varietal diversity of species. In addition, SSR molecular markers are widely used to identify and distinguish the genetic relationship of mango cultivars. The study aim is to determine the variability structuring level of 18 mango cultivars in Burkina Faso. Thus, genomic DNA was extracted in 2022 from young leaves at the molecular biology unit of the Biosciences laboratory at Joseph KI-ZERBO University (Burkina Faso). Analysis of the results showed a polymorphic percentage average of 21.49% per marker. Genetic distance showed that the similarity coefficient range is 0.0002 to 1.09. The greatest genetic distance (1.09) was calculated for the pairs (VSB, Valencia) and (VSB, Miamilate). On the other hand, the lowest genetic distance (0.0002) was calculated between Alphonso and Francis, Keitt and Sensation, and Mangot vert and Glazier. Examination of the dendrogram shows that the cultivars can be classified into two major groups of nine cultivars each. The first group includes Miamilate, Valencia, Lippens, Zill, Keitt, Sensation, Kent, Brooks, and Bewerly cultivars. The second group includes the cultivars Mangot vert, Glazier, Amélie, Dixon, Springfield, Francis, Alphonso, VSB and Mangot sabre. These results showed that cultivars are genetically very diverse. Therefore, our findings could be used for genetic diversity analysis and the marker-assisted breeding of mango germplasm.</p>Corneille Drabo Mariam Kiebre Ernest Renan TraoreJacob Sanou Mahamadou Sawadogo
Copyright (c) 2024 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2024-03-162024-03-1639491910.9734/arrb/2024/v39i42070Effect of Media and Photoperiod on Embryogenic and Organogenic Callus Induction from Mature Seed in Oryza sativa L.
https://www.journalarrb.com/index.php/ARRB/article/view/2071
<p>Rice is the staple food for billions of people and a source of income for hundreds of millions. This food security crop production needs to be improved to face the projected demands of the exponentially augmenting world’s population and overcome biotic and abiotic stress in the fields. Optimized in vitro culture protocols are a prerequisite to genetic engineering which appears to be the best potential way to improve the rice plant. In this study, ‘Nerica 3’ and ‘Nerica L36’ seeds were in vitro culture tested into 4 media (m1-4), in dark and photoperiod environments. The percentage of callus induction was calculated and callus weight was recorded. Results show that callus induction was influenced by variety × environment and medium × environment interactions, with a strong influence of the environment used. ‘Nerica 3’ showed the highest mean (88.25%) callus induction after six weeks of incubation on different media. m1 and m2 media showed greater mean callus induction (more than 86%). Higher callus induction came from m1 (82% and 91%) and m2 (81% and 93%) media, while lower rates came from m3 (73%) and m4 (69%) media for embryogenic and organogenic calli respectively. Culturing the explant in dark environment to produce embryogenic callus, resulted in greater callus weight for ‘Nerica 3’ (1.03 g) and ‘Nerica L36’ (0.79 g). This study is a contribution to the rice plant genetic improvement by proposing protocols for somatic embryogenesis of two Nerica rice varieties.</p>Danielle Christelle Tinak Ekom Jean Cyrille Mouen Piau Haïcha Diko Abba Oungvan Memena Rodrigue Simonet Poueme NamegniAbel Wade
Copyright (c) 2024 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2024-03-202024-03-20394202710.9734/arrb/2024/v39i42071