Achievements of AFD on farmer - Seed Yam Protection through Demos

1. On-farm demonstration plots were established in Nasarawa and Benue States to train farmers on seed yam production using minisett technology and best agronomic practices. 2. A total of 1832 yam farmers, including 469 female and 1363 male farmers, were trained across locations in the two states. 3. Data was collected on seed yam harvests from demonstration plots, with over 18,000 seed yam tubers harvested weighing over 3.7 tons in Nasarawa State and over 7,000 tubers weighing 1.2 tons in Benue State.

Government & Nonprofit

Jayeoba O .James, Joshua Jonathan and Isaac Ogara
Achievements of AFD on Farmer – Seed Yam Production Through
Demos

On-farm demonstration plots established in Nasarawa and Benue States

5. Farmers’ Training
i. Seed yam production using minisett Technology.
ii. Best Agronomic practices, diseases and pest
identification and control
iii. Harvest and post harvest handling of seed yam.
A total 1832 yam farmers were trained 469
female and 1363 male

Summary of farmers Trainned in Nasarawa and Benue States
S/N Location Male Female Total
Nasarawa State
1 Gandu Community 36 0 36
2 Alogani Community 34 2 36
3 Akunza Migli Community 28 8 36
4 Kadarko Community 20 4 24
5 Nasarawa Eggon Community 33 5 38
6 Mararaba Akunza Community 46 7 53
7 Akun – Essome Community 27 22 49
8 Tidde Community 39 6 45
9 Adde – Katako Community 58 50 108
10 Buku Madaki 38 18 56
11 Adogi Community 50 6 56
12 Bakin Rijiya Community 46 4 50
13 Kagbu Legba Community 29 1 30
14 Gidan Mai-Akuya Community 38 1 39
15 Agudu Community 36 14 50
16 Agyaragu Community 33 2 35
17 Rafin-Pa Community 52 37 89
18 Kurmi-Tagwaye Community 43 15 58
19 Risha Community 43 12 55
20 Anguwan Gimba Community 23 7 30
21 Kubere Community 33 3 36
22 Madubi Community 24 6 30
23 Kawo Community 27 6 33
24 Angwan Tara Community 30 5 35
25 Angwan Mayo Community 24 6 30
26 Gunduma Community 36 2 38
27 Garaku Community 25 5 30
28 Sabon Gida Community 49 13 62
29 Gitata Community 46 15 61
30 Marke Community 9 1 10
31 Buzi Community 9 3 12
Nasarawa State Total 1064 286 1350

Benue State
32 Ugba Community 47 10 57
33 Ikowe Community 33 6 39
34 Gbongon Group 29 20 49
35 Sati-Agirigi 14 52 66
36 Ugba Group 27 8 35
37 Asom Group 36 13 49
38 Tine-Kyula 42 23 65
39 Zaki-Biam Group 31 22 53
40 Afati Group 20 10 30
41 Kpeese Group 20 19 39
Benue State Total 299 183 482

Total Farmers Trained 1363 469 1832

No. of TubersNo. of Tubers TuberTuber
WeightWeight
(kg)(kg)
11 AdogiAdogi 845845 362.5362.5
22 Kagba LagbaKagba Lagba 747747 300.3300.3
33 Mararaba AkunzaMararaba Akunza 716716 169.2169.2
44 B/RijiyaB/Rijiya 657657 65.765.7
55 N/EggonN/Eggon 692692 141.9141.9
66 KadarkoKadarko 545545 54.954.9
77 GanduGandu 452452 6464
88 Akunza migiliAkunza migili 446446 111.2111.2
99 AgunduAgundu 395395 23.323.3
1010 AgyaraguAgyaragu 315315 59.559.5
1111 AloganiAlogani 246246 6767
1212 Gidan MaikuyaGidan Maikuya 337337 75.975.9
1313 Kurmi TagwayeKurmi Tagwaye 849849 172172
1414 RishaRisha 681681 9595
1515 Ade-KatakoAde-Katako 564564 150150
1616 Rafin-paRafin-pa 425425 9999
1717 Ekun-EssomeEkun-Essome 566566 74.574.5
1818 TiddeTidde 223223 3333
1919 Buku MadakiBuku Madaki 344344 79.279.2
2020 GarakuGaraku 884884 205205
2121 Angwan MayoAngwan Mayo 861861 162162
2222 KubereKubere 558558 66.866.8
2323 Angwan GimbaAngwan Gimba 755755 103103
2424 Sabo GidaSabo Gida 769769 169.5169.5
2424 MarkeMarke 874874 140140
2626 GundumaGunduma 132132 1010
2727 MadubiMadubi 710710 88.588.5
2828 Angwan TaraAngwan Tara 669669 132.8132.8
2929 GitataGitata 946946 80.880.8
3030 KawoKawo 818818 140.6140.6
3131 BuziBuzi 732732 228228
18,75318,753 3,725.13,725.1
Harvest Data in Nasarawa StateHarvest Data in Nasarawa State

S/NS/N CommunitiesCommunities Tuber No.Tuber No. TuberTuber
WeightWeight
(kg)(kg)
11 IkoweIkowe 940940 173.30173.30
22 GbongbonGbongbon 987987 302.50302.50
33 Sati-AgirigiSati-Agirigi 936936 272.80272.80
44 Zaki-BiamZaki-Biam 646646 144.61144.61
55 AfatiAfati 621621 41.2041.20
66 KpeeseKpeese 1,1031,103 105.90105.90
77 AsomAsom 622622 78.9078.90
88 UgbaUgba 651651 102.70102.70
99 Tine-KyulaTine-Kyula 536536 27.2027.20
TotalTotal 7,0427,042 1,249.111,249.11
Harvest Data in Benue StateHarvest Data in Benue State

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Border towns and spaces of (in)visibility.pdf

This report explores the significance of border towns and spaces for strengthening responses to young people on the move. In particular it explores the linkages of young people to local service centres with the aim of further developing service, protection, and support strategies for migrant children in border areas across the region. The report is based on a small-scale fieldwork study in the border towns of Chipata and Katete in Zambia conducted in July 2023. Border towns and spaces provide a rich source of information about issues related to the informal or irregular movement of young people across borders, including smuggling and trafficking. They can help build a picture of the nature and scope of the type of movement young migrants undertake and also the forms of protection available to them. Border towns and spaces also provide a lens through which we can better understand the vulnerabilities of young people on the move and, critically, the strategies they use to navigate challenges and access support. The findings in this report highlight some of the key factors shaping the experiences and vulnerabilities of young people on the move – particularly their proximity to border spaces and how this affects the risks that they face. The report describes strategies that young people on the move employ to remain below the radar of visibility to state and non-state actors due to fear of arrest, detention, and deportation while also trying to keep themselves safe and access support in border towns. These strategies of (in)visibility provide a way to protect themselves yet at the same time also heighten some of the risks young people face as their vulnerabilities are not always recognised by those who could offer support. In this report we show that the realities and challenges of life and migration in this region and in Zambia need to be better understood for support to be strengthened and tuned to meet the specific needs of young people on the move. This includes understanding the role of state and non-state stakeholders, the impact of laws and policies and, critically, the experiences of the young people themselves. We provide recommendations for immediate action, recommendations for programming to support young people on the move in the two towns that would reduce risk for young people in this area, and recommendations for longer term policy advocacy.

Monitoring Health for the SDGs - Global Health Statistics 2024 - WHO

Jamesadhikaram land matter consultancy 9447464502

Donate to charity during this holiday season

SERUDS INDIA

For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do. Donate Us https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/ #charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool

Indira P.S Vs sub Collector Kochi - The settlement register is not a holy cow...

2024: The FAR - Federal Acquisition Regulations, Part 39

JSchaus & Associates

Combined Illegal, Unregulated and Unreported (IUU) Vessel List.

University of North Carolina at Charlotte

The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime. To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence: Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) Commission for the Conservation of Southern Bluefin Tuna (CCSBT) General Fisheries Commission for the Mediterranean (GFCM) Inter-American Tropical Tuna Commission (IATTC) International Commission for the Conservation of Atlantic Tunas (ICCAT) Indian Ocean Tuna Commission (IOTC) Northwest Atlantic Fisheries Organisation (NAFO) North East Atlantic Fisheries Commission (NEAFC) North Pacific Fisheries Commission (NPFC) South East Atlantic Fisheries Organisation (SEAFO) South Pacific Regional Fisheries Management Organisation (SPRFMO) Southern Indian Ocean Fisheries Agreement (SIOFA) Western and Central Pacific Fisheries Commission (WCPFC) The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels. Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.

A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC Charlotte

Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.

Item # 10 -- Historical Presv. Districts