{"id":11378,"date":"2025-03-02T20:39:00","date_gmt":"2025-03-02T19:39:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=11378"},"modified":"2025-03-02T20:39:54","modified_gmt":"2025-03-02T19:39:54","slug":"azoto-panaudojimo-optimizavimas-kietuosiuose-kvieciuose-naudojant-nni-ir-ndvi-zemelapiais-pagristas-strategijas","status":"publish","type":"post","link":"https:\/\/geopard.tech\/lt\/blog\/optimizing-nitrogen-use-in-durum-wheat-with-nni-and-ndvi-map-based-strategies\/","title":{"rendered":"Azoto naudojimo kietuosiuose kvie\u010diuose optimizavimas naudojant NNI ir NDVI \u017eem\u0117lapiais pagr\u012fstas strategijas"},"content":{"rendered":"<p>Kietieji kvie\u010diai, Vidur\u017eemio j\u016bros regiono \u017eem\u0117s \u016bkio kertinis akmuo ir pasauliniu mastu itin svarbus makaron\u0173 gamybos pas\u0117lis, susiduria su neatid\u0117liotinu i\u0161\u0161\u016bkiu: netvariu azoto (N) tr\u0105\u0161\u0173 naudojimu.<\/p>\n<p>Nors azotas yra b\u016btinas norint padidinti derli\u0173, jo per didelis naudojimas turi rimt\u0173 pasekmi\u0173 aplinkai, \u012fskaitant gruntinio vandens u\u017eter\u0161tum\u0105, \u0161iltnamio efekt\u0105 sukelian\u010di\u0173 duj\u0173 i\u0161metim\u0105 ir dirvo\u017eemio degradacij\u0105.<\/p>\n<p>As\u010diane (Italija) atliktas ir \u201eEuropean Journal of Agronomy\u201c paskelbtas novatori\u0161kas ketveri\u0173 met\u0173 tyrimas (2018\u20132022 m.) siek\u0117 spr\u0119sti \u0161i\u0105 kriz\u0119 grie\u017etai lyginant \u012fprast\u0105 azoto valdym\u0105 su pa\u017eangiomis tiksliojo \u016bkininkavimo technologijomis.<\/p>\n<p>Tyrime daugiausia d\u0117mesio skirta trims palydoviniu b\u016bdu valdomoms strategijoms \u2013 azoto mitybos indeksui (NNI), proporciniam NDVI (NDVIH) ir kompensaciniam NDVI (NDVIL) \u2013 palyginti su tradiciniu vienodu azoto naudojimu. I\u0161vados ne tik atskleid\u017eia tvaraus kiet\u0173j\u0173 kvie\u010di\u0173 auginimo keli\u0105, bet ir nepaprastai tiksliai kiekybi\u0161kai \u012fvertina kiekvieno metodo ekonominius ir ekologinius kompromisus.<\/p>\n<h2>Metodologija: tiksliojo \u016bkininkavimo ir palydovini\u0173 technologij\u0173 derinys<\/h2>\n<p>Eksperimentas buvo vykdomas keturis i\u0161 eil\u0117s einan\u010dius auginimo sezonus Toskanos kalvotose vietov\u0117se, kurios yra Vidur\u017eemio j\u016bros regiono kvie\u010di\u0173 auginimo simbolis. Tyr\u0117jai suskirst\u0117 bandym\u0173 laukus \u012f sklypelius, kuriems buvo taikomos keturios skirtingos azoto kiekio valdymo strategijos.<\/p>\n<p>\u012eprastas \u201cfiksuoto tarifo\u201d metodas atitiko regionines agronomines gaires, kasmet naudojant 150 kg azoto vienam hektarui. Tuo tarpu tikslieji metodai naudojo \u201eSentinel-2\u201c palydovinius vaizdus \u2013 Europos kosmoso agent\u016bros misij\u0105, teikian\u010di\u0105 didel\u0117s skiriamosios gebos (10 metr\u0173) daugiaspektrinius duomenis \u2013 kad b\u016bt\u0173 galima pritaikyti azoto naudojim\u0105 erdv\u0117je ir laike.<\/p>\n<p>NNI strategija i\u0161siskyr\u0117 tuo, kad pas\u0117li\u0173 azoto b\u016bsena buvo apskai\u010diuojama realiuoju laiku naudojant patvirtint\u0105 algoritm\u0105, kuris integruoja lap\u0173 ploto indeks\u0105 ir biomas\u0117s \u012fver\u010dius. NDVIH paskirst\u0117 azot\u0105 proporcingai pagal augmenijos tank\u012f (normalizuot\u0105 skirtumin\u0117s augmenijos indeks\u0105), o NDVIL taik\u0117 kompensacin\u012f metod\u0105, papildom\u0105 azot\u0105 nukreipdama \u012f zonas, kuriose ma\u017eai augmenijos.<\/p>\n<h2>NNI lenkia \u012fprastas ir NDVI pagr\u012fstas strategijas<\/h2>\n<p>Tyrimo laikotarpiu NNI metodas pademonstravo neprilygstam\u0105 efektyvum\u0105. Jis suma\u017eino azoto sunaudojim\u0105 20%, naudojant tik 120 kg vienam hektarui, palyginti su \u012fprastu 150 kg, tuo pa\u010diu i\u0161laikant statisti\u0161kai atitinkam\u0105 4,8 tonos i\u0161 hektaro gr\u016bd\u0173 derli\u0173, palyginti su 4,7 tonos taikant vienodo dyd\u017eio \u016bkininkavim\u0105.<\/p>\n<p>Baltym\u0173 kiekis \u2013 labai svarbus kiet\u0173j\u0173 kvie\u010di\u0173 galutinio panaudojimo makaronuose kokyb\u0117s rodiklis \u2013 pasiek\u0117 13,2%, naudojant NNI, \u0161iek tiek vir\u0161ydamas \u012fprastinio metodo 12,5% rodikl\u012f.<\/p>\n<p>\u0160is ne\u017eymus baltym\u0173 padid\u0117jimas dav\u0117 reik\u0161ming\u0173 pramonini\u0173 prana\u0161um\u0173: i\u0161 NNI optimizuot\u0173 kvie\u010di\u0173 pagamintos te\u0161los W indeksas (glitimo stiprumo matas) buvo 280, gerokai vir\u0161ijantis 240, stebim\u0105 \u012fprastuose kvie\u010diuose.<\/p>\n<p>Tokie patobulinimai atsirado d\u0117l NNI geb\u0117jimo sinchronizuoti azoto prieinamum\u0105 su pas\u0117li\u0173 vystymosi etapais, u\u017etikrinant optimal\u0173 maistini\u0173 med\u017eiag\u0173 pasiskirstym\u0105 gr\u016bd\u0173 prisipildymo metu.<\/p>\n<h2>NDVI pagr\u012fst\u0173 metod\u0173 pasl\u0117ptos i\u0161laidos<\/h2>\n<p>Nors NDVI pagr\u012fstos strategijos buvo novatori\u0161kos, jos atskleid\u0117 esminius apribojimus. Proporcingas NDVIH metodas, kai azotas buvo paskirstomas pagal med\u017ei\u0173 lajos \u017ealum\u0105, padidino baltym\u0173 kiek\u012f iki 13,8%, ta\u010diau suma\u017eino derli\u0173 iki 4,5 tonos i\u0161 hektaro \u2013 6% ma\u017eiau, palyginti su NNI.<\/p>\n<p>\u0160is paradoksas kilo d\u0117l per didelio tr\u0119\u0161imo ir taip azotu turtingose zonose, kur per didelis vegetatyvinis augimas atitrauk\u0117 energij\u0105 nuo gr\u016bd\u0173 gamybos.<\/p>\n<p>Kompensacinis NDVIL metodas, skirtas padidinti sunkiai augan\u010di\u0173 pas\u0117li\u0173 plotus, dav\u0117 did\u017eiausi\u0105 derli\u0173 (5,1 t\/ha), ta\u010diau tur\u0117jo didel\u0119 aplinkosaugin\u0119 kain\u0105: tam reik\u0117jo 160 kg N\/ha, tod\u0117l azoto oksido emisija padid\u0117jo 33% (1,4 kg CO2 ekvivalento\/kg gr\u016bd\u0173), palyginti su NNI 0,8 kg.<\/p>\n<p>\u0160ie i\u0161metimai yra labai svarb\u016bs \u2013 azoto oksido pasaulinio at\u0161ilimo potencialas per \u0161imtmet\u012f yra 265 kartus didesnis nei anglies dioksido.<\/p>\n<p>Ekonomi\u0161kai NNI tapo ai\u0161kia nugal\u0117toja. \u016akininkai, pasirink\u0119 \u0161i\u0105 strategij\u0105, pasiek\u0117 220 eur\u0173 gryn\u0105j\u0105 gr\u0105\u017e\u0105 i\u0161 hektaro, 121 TP3 T daugiau nei 196 eurai taikant \u012fprast\u0105 metod\u0105. \u0160is prana\u0161umas atsirado d\u0117l dviej\u0173 veiksni\u0173: suma\u017e\u0117jusi\u0173 tr\u0105\u0161\u0173 s\u0105naud\u0173 (98 eurai\/ha, palyginti su 123 eurais\/ha) ir auk\u0161tesn\u0117s kainos u\u017e daug baltym\u0173 turin\u010dius gr\u016bdus.<\/p>\n<p>Tyrime pristatytas naujas \u201csocialini\u0173 s\u0105naud\u0173\u201d rodiklis \u2013 i\u0161samus aplinkos \u017ealos, vandens tar\u0161os poveikio visuomen\u0117s sveikatai ir ilgalaik\u0117s dirvo\u017eemio degradacijos matas. NNI socialin\u0117s s\u0105naudos i\u0161 viso sudar\u0117 42 eurus u\u017e hektar\u0105, palyginti su \u012fprastinio \u016bkininkavimo 60 eur\u0173. NDVIH ir NDVIL prane\u0161\u0117 apie atitinkamai 58 ir 55 eur\u0173 tarpines s\u0105naudas, atspindin\u010dias nesubalansuot\u0105 azoto pasiskirstym\u0105.<\/p>\n<p>Atid\u017eiau panagrin\u0117jus aplinkosaugos rodiklius, azoto tr\u0105\u0161\u0173 naudojimo efektyvumas (NfUE) \u2013 panaudoto N procentin\u0117 dalis, paversta \u012f derliaus gr\u016bdus \u2013 taikant NNI pasiek\u0117 65%, o tai yra ry\u0161kus pager\u0117jimas, palyginti su \u012fprastini\u0173 metod\u0173 52% efektyvumu. \u0160is \u0161uolis rei\u0161k\u0117 18% suma\u017e\u0117jim\u0105 nitrat\u0173 i\u0161plovime, apsaugant vietinius vandeninguosius sluoksnius nuo u\u017eter\u0161imo.<\/p>\n<p>Per ketverius metus trukus\u012f tyrim\u0105 laukai, kuriems taikoma NNI, d\u0117l i\u0161plovimo kasmet neteko tik 12 kg azoto i\u0161 hektaro, palyginti su 22 kg \u012fprastuose sklypuose. Kontekstui pamin\u0117tina, kad ES Nitrat\u0173 direktyva reikalauja, kad nitrat\u0173 koncentracija gruntiniame vandenyje b\u016bt\u0173 ma\u017eesn\u0117 nei 50 mg\/l \u2013 \u0161i riba vir\u0161yta 30% \u012fprastuose sklypuose, bet tik 8% NNI valdomuose plotuose.<\/p>\n<h2>NNI masto didinimas: i\u0161\u0161\u016bkiai ir politikos intervencijos<\/h2>\n<p>Tyrimas taip pat atskleid\u0117 pasl\u0117pt\u0105 naud\u0105 klimatui. Naudodama gyvavimo ciklo vertinimo (LCA) metodik\u0105, komanda apskai\u010diavo, kad NNI anglies p\u0117dsakas sudar\u0117 0,8 kg CO2 ekvivalento vienam gr\u016bd\u0173 kilogramui, t. y. 331 TP3 T ma\u017eiau nei \u012fprastinio \u016bkininkavimo 1,2 kg.<\/p>\n<p>\u0160is suma\u017e\u0117jimas daugiausia susij\u0119s su suma\u017e\u0117jusiomis tr\u0105\u0161\u0173 gamybos i\u0161metam\u0173 ter\u0161al\u0173 emisijomis (i\u0161vengta 1,2 kg CO2 ekv.\/kg N) ir ma\u017eesniu azoto suboksido i\u0161leidimu i\u0161 dirvo\u017eemio. Jei azoto suboksido naudojimas b\u016bt\u0173 taikomas visoje ES 2,4 mln. hektar\u0173 kiet\u0173j\u0173 kvie\u010di\u0173 dirbamos \u017eem\u0117s plote, platus azoto suboksido taikymas gal\u0117t\u0173 suma\u017einti metin\u012f i\u0161metam\u0173 ter\u0161al\u0173 kiek\u012f 960 000 metrini\u0173 ton\u0173 CO2 ekvivalento \u2013 tai prilygsta 208 000 automobili\u0173 pa\u0161alinimui i\u0161 keli\u0173.<\/p>\n<p>Vis d\u0117lto tyrime \u012fsp\u0117jama nelaikyti tiksliosios \u017eemdirbyst\u0117s panac\u0117ja. NNI metodo s\u0117km\u0117 priklauso nuo nuolatin\u0117s prieigos prie auk\u0161tos kokyb\u0117s palydovini\u0173 duomen\u0173 ir pa\u017eangios technikos, galin\u010dios taikyti kintam\u0105 norm\u0105 \u2013 tai infrastrukt\u016bros spragos besivystan\u010diuose regionuose.<\/p>\n<p>Pavyzd\u017eiui, \u201eSentinel-2\u201c palydovai kiekvien\u0105 viet\u0105 aplanko kas penkias dienas, ta\u010diau debesuotumas kritiniais augimo etapais gali sutrikdyti duomen\u0173 rinkim\u0105. Be to, algoritmai reikalauja kalibravimo pagal vietos s\u0105lygas; \u0161iame tyrime NNI ribos buvo tiksliai suderintos su Vidur\u017eemio j\u016bros klimatu, pasiekiant 92% azoto b\u016bsenos prognozavimo tikslum\u0105.<\/p>\n<p>Modelio taikymas sausringiems regionams arba sunkiems molio dirvo\u017eemiams be pakartotinio kalibravimo gali suma\u017einti tikslum\u0105 iki 70\u201375%.<\/p>\n<p>\u017dmogi\u0161kasis faktorius yra ne ma\u017eiau svarbus. \u016akininkai, pereinantys prie NNI, turi b\u016bti apmokyti interpretuoti spektrinius indeksus, pavyzd\u017eiui, suprasti, kad NDVI vert\u0117s, didesn\u0117s nei 0,7, da\u017enai rodo perteklin\u0119 vegetacij\u0105 ir pateisina azoto kiekio suma\u017einim\u0105.<\/p>\n<p>Mokslinink\u0173 komanda apskai\u010diavo, kad 10% padid\u0117j\u0119s \u016bkinink\u0173 ra\u0161tingumas apie tiksliuosius \u012frankius gal\u0117t\u0173 padidinti NfUE 4\u20136 procentiniais punktais. Tik\u0117tina, kad politin\u0117s intervencijos bus b\u016btinos: dirvo\u017eemio jutikli\u0173 subsidijavimas, agronom\u0173 vadovaujam\u0173 seminar\u0173 finansavimas ir kooperatyv\u0173 skatinimas dalytis technika gal\u0117t\u0173 demokratizuoti prieig\u0105.<\/p>\n<p>\u017dvelgiant \u012f ateit\u012f, tyrimo implikacijos apima daug daugiau nei kietuosius kvie\u010dius. NNI sistema, pritaikyta tokiems augalams kaip kukur\u016bzai ar ry\u017eiai, gal\u0117t\u0173 spr\u0119sti 60 milijon\u0173 ton\u0173 azoto pertekliaus problem\u0105, kuri kasmet i\u0161skiriama visame pasaulyje \u2013 tai vienas i\u0161 pagrindini\u0173 JT darnaus vystymosi tiksl\u0173.<\/p>\n<p>Preliminar\u016bs bandymai Ispanijos mie\u017ei\u0173 laukuose rodo pana\u0161\u0173 derliaus stabilum\u0105, kai azoto kiekis ma\u017eesnis nei 18%, o tai rodo pritaikym\u0105 \u012fvairiems pas\u0117liams. Tyr\u0117jams ma\u0161ininio mokymosi integravimas su palydoviniais duomenimis yra perspektyvi sritis: ankstyvieji modeliai dabar gali numatyti azoto poreik\u012f 95% tikslumu 30 dien\u0173 prie\u0161 naudojim\u0105, o tai leid\u017eia taikyti proaktyv\u0173, o ne reaktyv\u0173 valdym\u0105.<\/p>\n<h2>I\u0161vada<\/h2>\n<p>Apibendrinant, \u0161is tyrimas per\u017eengia akademini\u0173 sluoksni\u0173 ribas ir si\u016blo plan\u0105, kaip suderinti \u017eem\u0117s \u016bkio produktyvum\u0105 su planetos sveikata.<\/p>\n<p>Suma\u017eindamas azoto naudojim\u0105 20%, padidindamas \u016bkinink\u0173 peln\u0105 12% ir tre\u010ddaliu suma\u017eindamas \u0161iltnamio efekt\u0105 sukelian\u010di\u0173 duj\u0173 i\u0161metim\u0105, NNI metodas parodo, kad tvarumas ir pelningumas n\u0117ra vienas kito nesuderinami. Klimato kaitai stipr\u0117jant sausroms ir destabilizuojant vegetacijos sezonus, tokios tikslios strategijos taps nepakei\u010diamos.<\/p>\n<p>Dabartinis i\u0161\u0161\u016bkis \u2013 paversti \u0161\u012f mokslin\u012f patvirtinim\u0105 veiksmais vietoje \u2013 vykdant politikos reformas, technologin\u0119 demokratizacij\u0105 ir kei\u010diant po\u017ei\u016br\u012f \u012f tr\u0105\u0161as: ne kaip \u012f bukus \u012frankius, o kaip \u012f tikslius instrumentus siekiant apr\u016bpinimo maistu.<\/p>\n<p><strong>Nuoroda<\/strong>Fabbri, C., Delgado, A., Guerrini, L. ir Napoli, M. (2025). Tiksliojo azoto tr\u0119\u0161imo strategijos kietiesiems kvie\u010diams: NNI ir NDVI \u017eem\u0117lapiais pagr\u012fst\u0173 metod\u0173 tvarumo vertinimas. Europos agronomijos \u017eurnalas, 164, 127502.<\/p>","protected":false},"excerpt":{"rendered":"<p>Kietieji kvie\u010diai, Vidur\u017eemio j\u016bros regiono \u017eem\u0117s \u016bkio kertinis akmuo ir pasauliniu mastu itin svarbus makaron\u0173 gamybos pas\u0117lis, susiduria su neatid\u0117liotinu i\u0161\u0161\u016bkiu: netvariu azoto (N) naudojimu\u2026<\/p>","protected":false},"author":210249433,"featured_media":11381,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1661,1378,1369],"tags":[],"class_list":["post-11378","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-satellite-imagery","category-remote-sensing","category-vra"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Optimizing Nitrogen Use in Durum Wheat with NNI and NDVI Map-Based Strategies - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"Research focused on three satellite-guided strategies, Nitrogen Nutrition Index (NNI), NDVIH, and NDVIL, against traditional N application in durum wheat.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/lt\/tinklarastis\/azoto-panaudojimo-optimizavimas-kietuosiuose-kvieciuose-naudojant-nni-ir-ndvi-zemelapiais-pagristas-strategijas\/\" \/>\n<meta property=\"og:locale\" content=\"lt_LT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Optimizing Nitrogen Use in Durum Wheat with NNI and NDVI Map-Based Strategies - GeoPard Agriculture\" \/>\n<meta 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