Performance of Pigeon Pea (Cajanus cajan) Varieties under Different Soil Amendments in Ndokwa, Delta State, Nigeria

Background: Pigeon pea is an important legume worldwide that is not cultivated by the farmers in Ndokwa, Delta State. Hence, the study looked at the possibility of evaluating the potential of pigeon pea in Ogume, a community in Ndokwa. Methods: Top soils were collected from a fallowed land mixed thoroughly and filled into 4 kg bags and were divided into 3. The 1st was amended with poultry manure, 2nd was NPK 15:15:15 amended and 3rd was without amendment, tested with two varieties of Cajanus cajan. The experiment was a 2 by 3 factorial, in a completely randomized design with 3 replicates. Residual effects of the amendments were evaluated in 2020. Soil samples were taken to establish the fertility status before amendment and at harvest. Data were taken on the agronomic and yield parameters and were analyzed using ANOVA while means were separated using LSD at P≤0.05. Result: Result obtained showed that the tallest plants (9.83±0.51) were observed in the poultry manure in 2019 while the fallowed plots had the tallest plants (11.17±0.49) in 2020, while in both years, the number of pods and dry pod weight was insignificant among the treatments and varieties. This shows that farmers do not need to spend much finance in amending the soil for pigeon pea cultivation in Ndokwa community, Delta State.

Global Value Chain Data for Mexico in the Automotive and Electronics Sectors

This report uses the Global Value Chain (GVC) data framework to provide scoping review and analysis of Mexico's current position and potential for using and harvesting GVC data in the automotive and electronics sectors. By conducting the study on GVCs data, we hope to broaden the understanding of the importance of data transfers for GVCs, production, and trade, underlining that data are critical to all companies and not only to the so-called "high-tech companies." Data protection, sharing, and security are also central to manufacturers in the automotive and electronics sectors. This report will review how datafication, data protection, sharing, and security impact Mexico's automotive and electronics industry. This information is analyzed from a global perspective and the viewpoint of Mexico to provide a holistic picture of the situation when identifying trajectories for entry, growth, and upgrading along GVCs that rely on datafication and digital transformation. It will also offer recommendations for regulators and policymakers on how to facilitate successful GVCs' data functioning and guidance for businesses on how to harvest data for growth and digital transformation.

EFFECT OF FREQUENCY OF HARVEST PLANT POPULATION AND N.P.K FERTILIZER ON THE GROWTH PERFORMANCE OF VERNONIA AMYGDALINA

The trial aimed at assessing the effect of frequency of harvest, plant population and N.P.K fertilizer of Vernonia amygdalina(Bitter leaf) was conducted at the Teaching and Research farm, University of Abuja, Nigeria. Split plot treatment arrangement fitted into a randomized complete Block Design (RCBD) with 3 replications was used. Plant population used were10,000,stands/ha and 40,000 stands/ha and 4 weeks frequency of harvest. Data collected were Numbers of branches/plants Number of leaves /plants, Height/plant, leaf area index and dry matter/unit.The result of the study showed that the number of branches per plant in the plots that received N.P.K fertilizer was greater than those in the control plots. Leaf area per plant was drastically reduced in the control plots compared with those in plots that were treated with N.P.K 200kg and 400kg/ha were not significant.Frequency of harvest has significant effect on the leaf on the leaf area and dry matter weight of the plants. Stands planted at the spacing 1m(10,000 stands/ha) developed more in all the growth parameters than others one year after establishment.

Only two out of five articles by New Zealand researchers are free-to-access: a multiple API study of access, citations, cost of Article Processing Charges (APC), and the potential to increase the proportion of open access

We studied journal articles published by researchers at all eight New Zealand universities in 2017 to determine how many were freely accessible on the web. We wrote software code to harvest data from multiple sources, code that we now share to enable others to reproduce our work on their own sample set. In May 2019, we ran our code to determine which of the 2017 articles were open at that time and by what method; where those articles would have incurred an Article Processing Charge (APC) we calculated the cost if those charges had been paid. Where articles were not freely available we determined whether the policies of publishers in each case would have allowed deposit in a non-commercial repository (Green open access). We also examined citation rates for different types of access. We found that, of our 2017 sample set, about two out of every five articles were freely accessible without payment or subscription (41%). Where research was explicitly said to be funded by New Zealand’s major research funding agencies, the proportion was slightly higher at 45%. Where open articles would have incurred an APC we estimated an average cost per article of USD1,682 (for publications where all articles require an APC, that is, Gold open access) and USD2,558 (where APC payment is optional, Hybrid open access) at a total estimated cost of USD1.45m. Of the paid options, Gold is by far more common for New Zealand researchers (82% Gold, 18% Hybrid). In terms of citations, our analysis aligned with previous studies that suggest a correlation between publications being freely accessible and, on balance, slightly higher rates of citation. This is not seen across all types of open access, however, with Diamond OA achieving the lowest rates. Where articles were not freely accessible we found that a very large majority of them (88% or 3089 publications) could have been legally deposited in an institutional repository. Similarly, only in a very small number of cases had a version deposited in the repository of a New Zealand university made the difference between the publication being freely accessible or not (125 publications). Given that most New Zealand researchers support research being open, there is clearly a large gap between belief and practice in New Zealand’s research ecosystem.

Effects of Winter vs. Year-round Supplementation of Multiparous Bos Indicus-influenced Beef Cows on Offspring Postnatal Growth, Immunity, and Carcass Characteristics

This 2-yr study evaluated the effects of winter vs. year-round supplementation of Bos indicus-influenced beef cows on offspring feedlot performance. Brangus cows (82–84 cows/yr) were stratified by BW and BCS (475 ± 67 kg; 4.85 ± 0.73) and randomly assigned to bahiagrass pastures (13–14 cows/pasture). Treatments were randomly assigned to pastures (2 pastures/treatment/yr) and consisted of winter supplementation with molasses (MOL-W), or year-round supplementation with molasses (MOL-Y) or cubes (CUB-Y). Supplements were isocaloric and isonitrogenous (75% TDN, 20% CP; DM basis). Total yearly supplement DM amount was 272 kg/cow for all treatments. At weaning (d 421), 33–35 steers/yr were vaccinated against bovine respiratory disease, transported for 720 miles to the feedlot, penned according to prepartum pasture distribution, and fed the same corn silage-based diet until harvest. Data were analyzed using SAS GLIMMIX procedure. Cow BCS at calving was greater (P < 0.01) for MOL-Y and CUB-Y vs. CON cows. Calving rate, calving date, calf birth weight, and calf preweaning BW did not differ (P ≥ 0.22) among treatments. Steer feedlot BW did not differ (P ≥ 0.36) at time of feedlot entry but was greater (P ≤ 0.05) for MOL-Y and MOL-W steers vs. CUB-Y steers at feedlot exit. Plasma haptoglobin concentrations at feedlot entry were greater (P = 0.05) for CUB-Y vs. CON steers, with MOL-Y steers being intermediate, whereas plasma cortisol concentrations at feedlot entry were greater (P ≤ 0.05) for CUB-Y vs. MOL-Y and MOL-W steers. Marbling score, yield grade, and carcass weight did not differ (P ≥ 0.14), but CON steers had greater fat thickness at the 12th rib than MOL-Y and CUB-Y steers. Hence, year-round supplementation (molasses or cubes) of beef cows increased cow BCS at calving but had minor effects on offspring post-weaning growth and immunity compared to winter supplementation of molasses.

Long-lived population demographics in a declining, vulnerable fishery - bigmouth buffalo (Ictiobus cyprinellus) of Jamestown Reservoir, North Dakota

Despite decades of commercial harvest of bigmouth buffalo (Ictiobus cyprinellus) from Jamestown Reservoir, North Dakota, and the recent rapid growth of sport bowfishing that targets this species, there is a lack of biological information on this native catostomid. At present, no-limit recreational and commercial harvest of bigmouth buffalo occurs in North Dakota, with no harvest-reporting for recreational take. A long-lived life history was recently documented for this species with a lifespan exceeding 100 years. At Jamestown Reservoir, bigmouth buffalo were aged to 58 years of age, with onset of sexual maturity 10 years for females. Evidence for episodic recruitment over a 60-year period was in 1962–1979, 1993–2011, and 2017 with recruitment success more likely during non-drought periods. Annual commercial harvest data from this reservoir indicate bigmouth buffalo have declined significantly over the past 30 years, most precipitously since 2010 during the bowfishing era. The demographic patterns, episodic recruitment and harvest changes observed in this population are relevant for informing management of bigmouth buffalo and other long-lived freshwater fishes.

Estimating brown bear abundance and harvest rate on the southern Alaska Peninsula

Abundance estimation of hunted brown bear populations should occur on the same geographic scale as harvest data analyses for estimation of harvest rate. Estimated harvest rates are an important statistic for managing hunted bear populations. In Alaska, harvest data is collected over large geographic units, called Game Management Units (GMUs) and sub-GMUs. These sub GMUs often exceed 10,000 km2. In the spring of 2002, we conducted an aerial survey of GMU 9D (12,600 km2) and GMU 10 (4,070 km2) using distance sampling with mark-resight data. We used a mark-resight distance sampling method with a two-piece normal detection function to estimate brown bear abundance as 1,682.9 (SE = 174.29) and 316.9 (SE = 48.25) for GMU 9D and GMU 10, respectively. We used reported hunter harvest to estimate harvest rates of 4.35% (SE = 0.45%) and 3.06% (SE = 0.47%) for GMU 9D and GMU 10, respectively. Management objective for these units support sustained, high quality hunting opportunity which harvest data indicate are met with an annual harvest rate of approximately 5–6% or less.

Using Data Analytics Results in Practice: Challenges and Solution Directions

Organizations collect a vast amount of data of different types, from various sources, and through different channels. Primarily, these data are used by these organizations to facilitate their core business processes. However, today we witness a growing tendency to use these data for other purposes than that they are collected for. To this end, the data from one information system are combined with those of other information systems. Subsequently, the combined data are analyzed with advanced data analytics tools. Although there is a strong and practical need to apply such findings of data analytics to improve, among others, organizations’ (social) services, it is often not straightforward how to apply these findings in practice. This is due to many challenges arising from legal, ethical, and data quality concerns. In this chapter, we discuss the main reasons that hamper the application of data analytics findings, particularly pertaining to data collection processes and data analysis processes (like data mining and statistics). These reasons include inadequate transformations of statistical truths to individual cases, chances to fall into the trap of system realities, and required efforts to deal with the evolving semantics of data over time. The latter is due to the fact that our (social) environment is subjected to constant changes. We discuss two strategies to harvest data analytics findings in a responsible way. By means of some real-life examples in the field of social services we illustrate the applications of the strategies in practice. Furthermore, we argue that the findings from data-driven analytics may augment real-world ecosystems if they are applied with caution and responsibly.