2022—2023年南疆小麥區(qū)試品種綜合評(píng)價(jià)

關(guān)鍵詞小麥；農(nóng)藝性狀；相關(guān)性分析；主成分分析；聚類分析

中圖分類號(hào)S512.1文獻(xiàn)標(biāo)識(shí)碼A

文章編號(hào) 0517-6611（2025）08-0024-05

doi：10.3969/j.issn.0517-6611.2025.08.006

開放科學(xué)（資源服務(wù)）標(biāo)識(shí)碼（OSID）：

AbstractObetie]Todeplyxplorethgeneticdiversitycharacteristicsofeatgerplasminthewinterwheatzoneofsouth Xijang andcompreheielyssitsilapotetial.Metodssdfusdo5atvarets（s）partitigin regionaltrial.Tesevarietisweresujectedoarigorousanalysisandevauationofkeyagroomicndyieldtraits，compaingpant height，tillrount，spkegainumber，housand-grainweight，ndoverallyieldesultTefdingevealamarkableoticdiversityamongte55heatgemplasmresouces.Thecoeficientsofvationfortheseagronomicndyieldtritsspanawideangefroma minimum of 1 . 2 3 % to a maximum of 1 4 . 3 9 % ，with an average of 8 . 3 2 % . This suggests a considerable genetic variation within the studied wheatvarietis，gcpottialfdgprogCoelaioalysfurtrlirateatiosongthaist bly，asignifiatgaieeaststweddibaiatieadoust essarilytranslateintogherield.Convesely，ositivecoelatiosareedetweeeldndothgainumberpancdtou sand-grainweigt，suggstigtattheritouldseagetsfoieldimproveenttratesAditioall，raitsschsalte count，plantigt，nengthndumbeallncleitositieoelatioshield，gigioi nificancenbreedingeforts.Tfurthercondensetevastnfomationcontaiedintesetraits，principalomponentanalysis（PC）wseployed.Byseletingthfirstheepricialompoetsasedteciteroofgenvausgreaterthanumulatieotrbutioatef （20 5 9 . 7 4 % wasachieved.Thisrepresentsasignificantreductionindimensionalitywhilecapturigthemajorityofgeneticvariationpresentinthe 5germplasmresouceClusteraalysisas hencondctedtoategoreteeatvarietis（ines）intodstictroupsAtanEuclideandis tanceof3.，5atvreeegupeditoedsticustsaceqritpoilsdretyrtsus teringallowsforeioofriefrftgrosfogeedei，ryaigedingeddi versityCosilielyinidprsidsadgftiesiaestiof5t rieties（lines）nsouXijagndtlualdldutliatiootetial.Tistudesvauableisightsintodigf novelwintereatvarietisandteexpasiofgneticdivesityinisgio，erbyoibutigtosustaiablealaldee and food security.

Key words Wheat；Agronomic traits；Correlation analysis；Principal component analysis；Cluster analysis

我國(guó)作為全球最大的小麥生產(chǎn)國(guó)與消費(fèi)國(guó)，在小麥產(chǎn)業(yè)的地位舉足輕重，其產(chǎn)量占據(jù)全球總產(chǎn)量的 1 7 % ，消費(fèi)量占全球總量的 $1 6 ＼% ^ { [ 1 ] }$ 。（剩余8453字）